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You searched for +publisher:"Oregon State University" +contributor:("Tumer, Kagan"). Showing records 1 – 29 of 29 total matches.

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Oregon State University

1. Knudson, Matthew D. Navigation and coordination of autonomous mobile robots with limited resources.

Degree: PhD, Mechanical Engineering, 2009, Oregon State University

 The use of autonomous robots in complex exploration tasks is rapidly increasing. Indeed, robots can provide speed and cost effectiveness in many tasks, as well… (more)

Subjects/Keywords: artificial intelligence; Autonomous robots

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APA (6th Edition):

Knudson, M. D. (2009). Navigation and coordination of autonomous mobile robots with limited resources. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/13326

Chicago Manual of Style (16th Edition):

Knudson, Matthew D. “Navigation and coordination of autonomous mobile robots with limited resources.” 2009. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/13326.

MLA Handbook (7th Edition):

Knudson, Matthew D. “Navigation and coordination of autonomous mobile robots with limited resources.” 2009. Web. 11 Dec 2019.

Vancouver:

Knudson MD. Navigation and coordination of autonomous mobile robots with limited resources. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/13326.

Council of Science Editors:

Knudson MD. Navigation and coordination of autonomous mobile robots with limited resources. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/13326


Oregon State University

2. Shepherd, Jack F. (Jack Finley). A hierarchical neuro-evolutionary approach to small quadrotor control.

Degree: MS, Mechanical Engineering, 2010, Oregon State University

 Quadrotors are unique among Micro Aerial Vehicles in providing excellent maneuverability (as opposed to winged flight),while maintaing a simple mechanical construction (as opposed to helicopters).… (more)

Subjects/Keywords: Adaptive Control; Micro air vehicles

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APA (6th Edition):

Shepherd, J. F. (. F. (2010). A hierarchical neuro-evolutionary approach to small quadrotor control. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/14167

Chicago Manual of Style (16th Edition):

Shepherd, Jack F (Jack Finley). “A hierarchical neuro-evolutionary approach to small quadrotor control.” 2010. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/14167.

MLA Handbook (7th Edition):

Shepherd, Jack F (Jack Finley). “A hierarchical neuro-evolutionary approach to small quadrotor control.” 2010. Web. 11 Dec 2019.

Vancouver:

Shepherd JF(F. A hierarchical neuro-evolutionary approach to small quadrotor control. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/14167.

Council of Science Editors:

Shepherd JF(F. A hierarchical neuro-evolutionary approach to small quadrotor control. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/14167


Oregon State University

3. Khani, Newsha. Learning from action not taken in multiagent systems.

Degree: MS, Mechanical Engineering, 2009, Oregon State University

 Coordination in large multiagent systems in order to achieve a system level goal is a critical challenge. Given the agents' intention to cooperate, there is… (more)

Subjects/Keywords: Multiagent Systems; Intelligent agents (Computer software)

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APA (6th Edition):

Khani, N. (2009). Learning from action not taken in multiagent systems. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/11949

Chicago Manual of Style (16th Edition):

Khani, Newsha. “Learning from action not taken in multiagent systems.” 2009. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/11949.

MLA Handbook (7th Edition):

Khani, Newsha. “Learning from action not taken in multiagent systems.” 2009. Web. 11 Dec 2019.

Vancouver:

Khani N. Learning from action not taken in multiagent systems. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/11949.

Council of Science Editors:

Khani N. Learning from action not taken in multiagent systems. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11949


Oregon State University

4. Patton, Chris. Clearing bubble blockages in micro channels using a model predictive controller.

Degree: MS, Mechanical Engineering, 2009, Oregon State University

 Micro scale systems are being utilized in a wide variety of chemical, biological and heat exchanger applications, but suffer from the development of vapor bubbles… (more)

Subjects/Keywords: microchannel; Bubbles  – Dynamics  – Mathematical models

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APA (6th Edition):

Patton, C. (2009). Clearing bubble blockages in micro channels using a model predictive controller. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/12929

Chicago Manual of Style (16th Edition):

Patton, Chris. “Clearing bubble blockages in micro channels using a model predictive controller.” 2009. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/12929.

MLA Handbook (7th Edition):

Patton, Chris. “Clearing bubble blockages in micro channels using a model predictive controller.” 2009. Web. 11 Dec 2019.

Vancouver:

Patton C. Clearing bubble blockages in micro channels using a model predictive controller. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/12929.

Council of Science Editors:

Patton C. Clearing bubble blockages in micro channels using a model predictive controller. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12929


Oregon State University

5. Junell, Jaime L. Adaptive methods for robust commercial vehicle control.

Degree: MS, Mechanical Engineering, 2009, Oregon State University

 This thesis explores the implementation of learning based control with predictive cruise control and the potential this technology has for increasing fuel efficiency while keeping… (more)

Subjects/Keywords: predictive cruise control; Neural networks (Computer science)  – Design and construction

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APA (6th Edition):

Junell, J. L. (2009). Adaptive methods for robust commercial vehicle control. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/12394

Chicago Manual of Style (16th Edition):

Junell, Jaime L. “Adaptive methods for robust commercial vehicle control.” 2009. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/12394.

MLA Handbook (7th Edition):

Junell, Jaime L. “Adaptive methods for robust commercial vehicle control.” 2009. Web. 11 Dec 2019.

Vancouver:

Junell JL. Adaptive methods for robust commercial vehicle control. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/12394.

Council of Science Editors:

Junell JL. Adaptive methods for robust commercial vehicle control. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12394


Oregon State University

6. Dickinson, Benjamin T. Detecting fluid flows with bioinspired hair sensors.

Degree: PhD, Mechanical Engineering, 2009, Oregon State University

 Many animals detect prey or enhance their locomotion with information from hair-like receptors that are activated by local fluid flows. The utility of biological hair… (more)

Subjects/Keywords: flow control; Fluid dynamics

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APA (6th Edition):

Dickinson, B. T. (2009). Detecting fluid flows with bioinspired hair sensors. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12580

Chicago Manual of Style (16th Edition):

Dickinson, Benjamin T. “Detecting fluid flows with bioinspired hair sensors.” 2009. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/12580.

MLA Handbook (7th Edition):

Dickinson, Benjamin T. “Detecting fluid flows with bioinspired hair sensors.” 2009. Web. 11 Dec 2019.

Vancouver:

Dickinson BT. Detecting fluid flows with bioinspired hair sensors. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/12580.

Council of Science Editors:

Dickinson BT. Detecting fluid flows with bioinspired hair sensors. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12580


Oregon State University

7. HolmesParker, Chris. CLEAN learning to improve coordination and scalability in multiagent systems.

Degree: PhD, Mechanical Engineering, 2013, Oregon State University

 Recent advances in multiagent learning have led to exciting new capabilities spanning fields as diverse as planetary exploration, air traffic control, military reconnaissance, and airport… (more)

Subjects/Keywords: Multiagent systems; Multiagent systems

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APA (6th Edition):

HolmesParker, C. (2013). CLEAN learning to improve coordination and scalability in multiagent systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/39192

Chicago Manual of Style (16th Edition):

HolmesParker, Chris. “CLEAN learning to improve coordination and scalability in multiagent systems.” 2013. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/39192.

MLA Handbook (7th Edition):

HolmesParker, Chris. “CLEAN learning to improve coordination and scalability in multiagent systems.” 2013. Web. 11 Dec 2019.

Vancouver:

HolmesParker C. CLEAN learning to improve coordination and scalability in multiagent systems. [Internet] [Doctoral dissertation]. Oregon State University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/39192.

Council of Science Editors:

HolmesParker C. CLEAN learning to improve coordination and scalability in multiagent systems. [Doctoral Dissertation]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/39192


Oregon State University

8. Yliniemi, Logan Michael. Coevolution and transfer learning in a point-to-point fleet coordination problem.

Degree: MS, Mechanical Engineering, 2012, Oregon State University

 In this work we present a multiagent Fleet Coordination Problem (FCP). In this formulation, agents seek to minimize the fuel consumed to complete all deliveries… (more)

Subjects/Keywords: Multiagent; Multiagent systems

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APA (6th Edition):

Yliniemi, L. M. (2012). Coevolution and transfer learning in a point-to-point fleet coordination problem. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/29216

Chicago Manual of Style (16th Edition):

Yliniemi, Logan Michael. “Coevolution and transfer learning in a point-to-point fleet coordination problem.” 2012. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/29216.

MLA Handbook (7th Edition):

Yliniemi, Logan Michael. “Coevolution and transfer learning in a point-to-point fleet coordination problem.” 2012. Web. 11 Dec 2019.

Vancouver:

Yliniemi LM. Coevolution and transfer learning in a point-to-point fleet coordination problem. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/29216.

Council of Science Editors:

Yliniemi LM. Coevolution and transfer learning in a point-to-point fleet coordination problem. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/29216


Oregon State University

9. Nasroullahi, Ehsan. Combining coordination mechanisms to improve performance in multi-robot teams.

Degree: MS, Mechanical Engineering, 2012, Oregon State University

 Coordination is essential to achieving good performance in cooperative multiagent systems. To date, most work has focused on either implicit or explicit coordination mechanisms, while… (more)

Subjects/Keywords: Multiagent Coordination; Multiagent systems

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APA (6th Edition):

Nasroullahi, E. (2012). Combining coordination mechanisms to improve performance in multi-robot teams. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/28352

Chicago Manual of Style (16th Edition):

Nasroullahi, Ehsan. “Combining coordination mechanisms to improve performance in multi-robot teams.” 2012. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/28352.

MLA Handbook (7th Edition):

Nasroullahi, Ehsan. “Combining coordination mechanisms to improve performance in multi-robot teams.” 2012. Web. 11 Dec 2019.

Vancouver:

Nasroullahi E. Combining coordination mechanisms to improve performance in multi-robot teams. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/28352.

Council of Science Editors:

Nasroullahi E. Combining coordination mechanisms to improve performance in multi-robot teams. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/28352


Oregon State University

10. Skeele, Ryan. Planning Under Uncertainty for Unmanned Aerial Vehicles.

Degree: MS, Robotics, 2016, Oregon State University

 Unmanned aerial vehicle (UAV) technology has grown out of traditional research and military applications and has captivated the commercial and consumer markets, showing the ability… (more)

Subjects/Keywords: Planning; Drone aircraft

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APA (6th Edition):

Skeele, R. (2016). Planning Under Uncertainty for Unmanned Aerial Vehicles. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59456

Chicago Manual of Style (16th Edition):

Skeele, Ryan. “Planning Under Uncertainty for Unmanned Aerial Vehicles.” 2016. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/59456.

MLA Handbook (7th Edition):

Skeele, Ryan. “Planning Under Uncertainty for Unmanned Aerial Vehicles.” 2016. Web. 11 Dec 2019.

Vancouver:

Skeele R. Planning Under Uncertainty for Unmanned Aerial Vehicles. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/59456.

Council of Science Editors:

Skeele R. Planning Under Uncertainty for Unmanned Aerial Vehicles. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59456


Oregon State University

11. Soria Zurita, Nicolas Francisco. Design of Complex Engineered Systems Using Multiagent Coordination.

Degree: MS, Mechanical Engineering, 2016, Oregon State University

 This thesis is the combination of two research publications working toward a unified strategy in which the design of complex engineered systems can be completed… (more)

Subjects/Keywords: Multiagent coordination; Multiagent systems

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APA (6th Edition):

Soria Zurita, N. F. (2016). Design of Complex Engineered Systems Using Multiagent Coordination. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59480

Chicago Manual of Style (16th Edition):

Soria Zurita, Nicolas Francisco. “Design of Complex Engineered Systems Using Multiagent Coordination.” 2016. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/59480.

MLA Handbook (7th Edition):

Soria Zurita, Nicolas Francisco. “Design of Complex Engineered Systems Using Multiagent Coordination.” 2016. Web. 11 Dec 2019.

Vancouver:

Soria Zurita NF. Design of Complex Engineered Systems Using Multiagent Coordination. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/59480.

Council of Science Editors:

Soria Zurita NF. Design of Complex Engineered Systems Using Multiagent Coordination. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59480


Oregon State University

12. Rahmattalabi, Aida. D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains.

Degree: MS, Robotics, 2016, Oregon State University

 Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents… (more)

Subjects/Keywords: Multiagent Systems; Multiagent systems

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APA (6th Edition):

Rahmattalabi, A. (2016). D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59671

Chicago Manual of Style (16th Edition):

Rahmattalabi, Aida. “D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains.” 2016. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/59671.

MLA Handbook (7th Edition):

Rahmattalabi, Aida. “D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains.” 2016. Web. 11 Dec 2019.

Vancouver:

Rahmattalabi A. D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/59671.

Council of Science Editors:

Rahmattalabi A. D₊₊: Structural Credit Assignment in Tightly Coupled Multiagent Domains. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59671


Oregon State University

13. Rebhuhn, Carrie. Adaptive Multiagent Traffic Management for Autonomous Robotic Systems.

Degree: PhD, 2017, Oregon State University

 There is growing commercial interest in the use of unmanned aerial vehicles (UAVs) in urban environments, specifically for package delivery applications. However, the size, complexity… (more)

Subjects/Keywords: Multiagent

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APA (6th Edition):

Rebhuhn, C. (2017). Adaptive Multiagent Traffic Management for Autonomous Robotic Systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61734

Chicago Manual of Style (16th Edition):

Rebhuhn, Carrie. “Adaptive Multiagent Traffic Management for Autonomous Robotic Systems.” 2017. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/61734.

MLA Handbook (7th Edition):

Rebhuhn, Carrie. “Adaptive Multiagent Traffic Management for Autonomous Robotic Systems.” 2017. Web. 11 Dec 2019.

Vancouver:

Rebhuhn C. Adaptive Multiagent Traffic Management for Autonomous Robotic Systems. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/61734.

Council of Science Editors:

Rebhuhn C. Adaptive Multiagent Traffic Management for Autonomous Robotic Systems. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61734


Oregon State University

14. Knudson, Matthew D. Applying hierarchical and adaptive control to coordinating simple robots.

Degree: MS, Mechanical Engineering, 2008, Oregon State University

 Coordinating multiple robots to achieve a complex task requires solving two distinct control problems: the high-level control problem of ensuring that each robot aims to… (more)

Subjects/Keywords: adaptive control; Robots  – Control systems

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APA (6th Edition):

Knudson, M. D. (2008). Applying hierarchical and adaptive control to coordinating simple robots. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/8289

Chicago Manual of Style (16th Edition):

Knudson, Matthew D. “Applying hierarchical and adaptive control to coordinating simple robots.” 2008. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/8289.

MLA Handbook (7th Edition):

Knudson, Matthew D. “Applying hierarchical and adaptive control to coordinating simple robots.” 2008. Web. 11 Dec 2019.

Vancouver:

Knudson MD. Applying hierarchical and adaptive control to coordinating simple robots. [Internet] [Masters thesis]. Oregon State University; 2008. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/8289.

Council of Science Editors:

Knudson MD. Applying hierarchical and adaptive control to coordinating simple robots. [Masters Thesis]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/8289


Oregon State University

15. Valenti, Brett A. Condensing observation of locale and agents : a state representation.

Degree: MS, Mechanical Engineering, 2010, Oregon State University

 Computing agents require state information to make coherent and useful decisions. A state representation is a numerical translation of the environment and conditions that are… (more)

Subjects/Keywords: state representation; Intelligent agents (Computer software)

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APA (6th Edition):

Valenti, B. A. (2010). Condensing observation of locale and agents : a state representation. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/15187

Chicago Manual of Style (16th Edition):

Valenti, Brett A. “Condensing observation of locale and agents : a state representation.” 2010. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/15187.

MLA Handbook (7th Edition):

Valenti, Brett A. “Condensing observation of locale and agents : a state representation.” 2010. Web. 11 Dec 2019.

Vancouver:

Valenti BA. Condensing observation of locale and agents : a state representation. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/15187.

Council of Science Editors:

Valenti BA. Condensing observation of locale and agents : a state representation. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/15187


Oregon State University

16. Bell, Adam R. Learning-based control and coordination of autonomous UAVs.

Degree: MS, Mechanical Engineering, 2010, Oregon State University

 Uninhabited aerial vehicles, also called UAVs are currently controller by a combination of a human pilot at a remote location, and autopilot systems similar to… (more)

Subjects/Keywords: coordination; Drone aircraft  – Control systems

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APA (6th Edition):

Bell, A. R. (2010). Learning-based control and coordination of autonomous UAVs. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/19597

Chicago Manual of Style (16th Edition):

Bell, Adam R. “Learning-based control and coordination of autonomous UAVs.” 2010. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/19597.

MLA Handbook (7th Edition):

Bell, Adam R. “Learning-based control and coordination of autonomous UAVs.” 2010. Web. 11 Dec 2019.

Vancouver:

Bell AR. Learning-based control and coordination of autonomous UAVs. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/19597.

Council of Science Editors:

Bell AR. Learning-based control and coordination of autonomous UAVs. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/19597


Oregon State University

17. Curran, William. High-Dimensional Reinforcement Learning with Human Feedback.

Degree: PhD, 2017, Oregon State University

State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators… (more)

Subjects/Keywords: Robotics

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APA (6th Edition):

Curran, W. (2017). High-Dimensional Reinforcement Learning with Human Feedback. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61531

Chicago Manual of Style (16th Edition):

Curran, William. “High-Dimensional Reinforcement Learning with Human Feedback.” 2017. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/61531.

MLA Handbook (7th Edition):

Curran, William. “High-Dimensional Reinforcement Learning with Human Feedback.” 2017. Web. 11 Dec 2019.

Vancouver:

Curran W. High-Dimensional Reinforcement Learning with Human Feedback. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/61531.

Council of Science Editors:

Curran W. High-Dimensional Reinforcement Learning with Human Feedback. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61531

18. Gabler, Andrew. Learning-based Control of Experimental Hybrid Fuel Cell Power Plant.

Degree: MS, Robotics, 2015, Oregon State University

 Direct red Solid Oxide Fuel Cell (SOFC) Turbine hybrid plants have the potential to dramatically increase power plant efficiency, decrease emissions, and provide fast response… (more)

Subjects/Keywords: Learning-based Control; Hybrid power systems  – Automatic control

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APA (6th Edition):

Gabler, A. (2015). Learning-based Control of Experimental Hybrid Fuel Cell Power Plant. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56309

Chicago Manual of Style (16th Edition):

Gabler, Andrew. “Learning-based Control of Experimental Hybrid Fuel Cell Power Plant.” 2015. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/56309.

MLA Handbook (7th Edition):

Gabler, Andrew. “Learning-based Control of Experimental Hybrid Fuel Cell Power Plant.” 2015. Web. 11 Dec 2019.

Vancouver:

Gabler A. Learning-based Control of Experimental Hybrid Fuel Cell Power Plant. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/56309.

Council of Science Editors:

Gabler A. Learning-based Control of Experimental Hybrid Fuel Cell Power Plant. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56309

19. Iscen, Atil. Multiagent learning for locomotion and coordination in tensegrity robotics.

Degree: PhD, Computer Science, 2014, Oregon State University

 Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages… (more)

Subjects/Keywords: Tensegrity; Multiagent systems

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APA (6th Edition):

Iscen, A. (2014). Multiagent learning for locomotion and coordination in tensegrity robotics. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/48617

Chicago Manual of Style (16th Edition):

Iscen, Atil. “Multiagent learning for locomotion and coordination in tensegrity robotics.” 2014. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/48617.

MLA Handbook (7th Edition):

Iscen, Atil. “Multiagent learning for locomotion and coordination in tensegrity robotics.” 2014. Web. 11 Dec 2019.

Vancouver:

Iscen A. Multiagent learning for locomotion and coordination in tensegrity robotics. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/48617.

Council of Science Editors:

Iscen A. Multiagent learning for locomotion and coordination in tensegrity robotics. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/48617

20. Rebhuhn, Carrie M. A multiagent approach to identifying innovation in design components.

Degree: MS, Mechanical Engineering, 2013, Oregon State University

 Innovation is a key element for a product to achieve market success, but identifying it within product or even defining the term is a difficult… (more)

Subjects/Keywords: reinforcement learning; Multiagent systems

…Reposi­ tory, housed at Oregon State University, which represents a collection of products which… …creativity at the functional level. 2.2.1 Design Repository The Design Repository at Oregon State… …University contains a wealth of information about modern products. It currently contains over 180… 

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APA (6th Edition):

Rebhuhn, C. M. (2013). A multiagent approach to identifying innovation in design components. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/38662

Chicago Manual of Style (16th Edition):

Rebhuhn, Carrie M. “A multiagent approach to identifying innovation in design components.” 2013. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/38662.

MLA Handbook (7th Edition):

Rebhuhn, Carrie M. “A multiagent approach to identifying innovation in design components.” 2013. Web. 11 Dec 2019.

Vancouver:

Rebhuhn CM. A multiagent approach to identifying innovation in design components. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/38662.

Council of Science Editors:

Rebhuhn CM. A multiagent approach to identifying innovation in design components. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/38662

21. Salichon, Max. Learning based methods applied to the MAV control problem.

Degree: PhD, Mechanical Engineering, 2009, Oregon State University

 This thesis addresses Micro Aerial Vehicle (MAV) control by leveraging learning based techniques to improve robustness of the control system. Applying classical control methods to… (more)

Subjects/Keywords: MAV; Micro air vehicles

…dissertation will become part of the permanent collection of Oregon State University libraries. My… 

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APA (6th Edition):

Salichon, M. (2009). Learning based methods applied to the MAV control problem. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/13669

Chicago Manual of Style (16th Edition):

Salichon, Max. “Learning based methods applied to the MAV control problem.” 2009. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/13669.

MLA Handbook (7th Edition):

Salichon, Max. “Learning based methods applied to the MAV control problem.” 2009. Web. 11 Dec 2019.

Vancouver:

Salichon M. Learning based methods applied to the MAV control problem. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/13669.

Council of Science Editors:

Salichon M. Learning based methods applied to the MAV control problem. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/13669

22. Sills, Stephen. A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control.

Degree: MS, Mechanical Engineering, 2012, Oregon State University

 Recent work has shown humanoid robots with spinal columns, instead of rigid torsos, benefit from both better balance and an increased ability to absorb external… (more)

Subjects/Keywords: Multi-agent; Neural networks (Computer science)

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APA (6th Edition):

Sills, S. (2012). A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/30040

Chicago Manual of Style (16th Edition):

Sills, Stephen. “A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control.” 2012. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/30040.

MLA Handbook (7th Edition):

Sills, Stephen. “A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control.” 2012. Web. 11 Dec 2019.

Vancouver:

Sills S. A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/30040.

Council of Science Editors:

Sills S. A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30040

23. Colby, Mitchell Kataichi. Theoretical and implementation improvements for difference evaluation functions.

Degree: PhD, Mechanical Engineering, 2014, Oregon State University

 Multiagent learning with cooperative coevolutionary algorithms is a critical area of research, and is relevant to many real-world applications including air traffic control, distributed sensor… (more)

Subjects/Keywords: Multiagent Learning; Multiagent systems

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APA (6th Edition):

Colby, M. K. (2014). Theoretical and implementation improvements for difference evaluation functions. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/47555

Chicago Manual of Style (16th Edition):

Colby, Mitchell Kataichi. “Theoretical and implementation improvements for difference evaluation functions.” 2014. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/47555.

MLA Handbook (7th Edition):

Colby, Mitchell Kataichi. “Theoretical and implementation improvements for difference evaluation functions.” 2014. Web. 11 Dec 2019.

Vancouver:

Colby MK. Theoretical and implementation improvements for difference evaluation functions. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/47555.

Council of Science Editors:

Colby MK. Theoretical and implementation improvements for difference evaluation functions. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/47555

24. Yliniemi, Logan Michael. Multi-Objective Optimization in Multiagent Systems.

Degree: PhD, Mechanical Engineering, 2015, Oregon State University

 Cooperative multiagent systems are used as solution concepts in many application domains including air traffic control, satellite communications, and extra planetary exploration. As systems become… (more)

Subjects/Keywords: Multiagent systems; Multiagent systems

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APA (6th Edition):

Yliniemi, L. M. (2015). Multi-Objective Optimization in Multiagent Systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/56312

Chicago Manual of Style (16th Edition):

Yliniemi, Logan Michael. “Multi-Objective Optimization in Multiagent Systems.” 2015. Doctoral Dissertation, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/56312.

MLA Handbook (7th Edition):

Yliniemi, Logan Michael. “Multi-Objective Optimization in Multiagent Systems.” 2015. Web. 11 Dec 2019.

Vancouver:

Yliniemi LM. Multi-Objective Optimization in Multiagent Systems. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/56312.

Council of Science Editors:

Yliniemi LM. Multi-Objective Optimization in Multiagent Systems. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56312

25. Colby, Mitchell. Optimizing ballast design of wave energy converters using evolutionary algorithms.

Degree: MS, Mechanical Engineering, 2012, Oregon State University

 Wave Energy Converters (WECs) promise to be a viable alternative to current electrical generation methods. However, these WECs must become more efficient before wide-scale industrial… (more)

Subjects/Keywords: Optimization; Ocean wave power

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APA (6th Edition):

Colby, M. (2012). Optimizing ballast design of wave energy converters using evolutionary algorithms. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/29043

Chicago Manual of Style (16th Edition):

Colby, Mitchell. “Optimizing ballast design of wave energy converters using evolutionary algorithms.” 2012. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/29043.

MLA Handbook (7th Edition):

Colby, Mitchell. “Optimizing ballast design of wave energy converters using evolutionary algorithms.” 2012. Web. 11 Dec 2019.

Vancouver:

Colby M. Optimizing ballast design of wave energy converters using evolutionary algorithms. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/29043.

Council of Science Editors:

Colby M. Optimizing ballast design of wave energy converters using evolutionary algorithms. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/29043

26. Curran, William (William John). Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping.

Degree: MS, Computer Science, 2013, Oregon State University

 Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing… (more)

Subjects/Keywords: Multiagent Reinforcement Learning; Air traffic control  – Computer programs

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APA (6th Edition):

Curran, W. (. J. (2013). Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/40034

Chicago Manual of Style (16th Edition):

Curran, William (William John). “Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping.” 2013. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/40034.

MLA Handbook (7th Edition):

Curran, William (William John). “Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping.” 2013. Web. 11 Dec 2019.

Vancouver:

Curran W(J. Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/40034.

Council of Science Editors:

Curran W(J. Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/40034

27. Moissinac, Béatrice. Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism.

Degree: MS, Computer Science, 2013, Oregon State University

 Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for… (more)

Subjects/Keywords: VCG; Reinforcement learning

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APA (6th Edition):

Moissinac, B. (2013). Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/45126

Chicago Manual of Style (16th Edition):

Moissinac, Béatrice. “Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism.” 2013. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/45126.

MLA Handbook (7th Edition):

Moissinac, Béatrice. “Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism.” 2013. Web. 11 Dec 2019.

Vancouver:

Moissinac B. Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/45126.

Council of Science Editors:

Moissinac B. Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/45126

28. Vejdani Noghreiyan, Hamid Reza. Control of spring-mass running robots.

Degree: MS, Mechanical Engineering, 2013, Oregon State University

 We seek the control strategies that are applicable on legged robots and control them to run in real world as robust and efficient as animals.… (more)

Subjects/Keywords: Legged robot; Robots  – Control systems

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APA (6th Edition):

Vejdani Noghreiyan, H. R. (2013). Control of spring-mass running robots. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/38476

Chicago Manual of Style (16th Edition):

Vejdani Noghreiyan, Hamid Reza. “Control of spring-mass running robots.” 2013. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/38476.

MLA Handbook (7th Edition):

Vejdani Noghreiyan, Hamid Reza. “Control of spring-mass running robots.” 2013. Web. 11 Dec 2019.

Vancouver:

Vejdani Noghreiyan HR. Control of spring-mass running robots. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/38476.

Council of Science Editors:

Vejdani Noghreiyan HR. Control of spring-mass running robots. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/38476


Oregon State University

29. Kolstad, Joel W. CAM : a new Circuit Augmentation Method for modeling interconnects and passive components.

Degree: MS, Electrical and Computer Engineering, 2007, Oregon State University

 Contemporary circuit design involves significant computer-based simulation, calling for a balance between circuit model accuracy and simulation run time. Traditionally, circuit modelers concentrated on producing… (more)

Subjects/Keywords: circuit simulation; Electric circuits  – Simulation methods

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APA (6th Edition):

Kolstad, J. W. (2007). CAM : a new Circuit Augmentation Method for modeling interconnects and passive components. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/5855

Chicago Manual of Style (16th Edition):

Kolstad, Joel W. “CAM : a new Circuit Augmentation Method for modeling interconnects and passive components.” 2007. Masters Thesis, Oregon State University. Accessed December 11, 2019. http://hdl.handle.net/1957/5855.

MLA Handbook (7th Edition):

Kolstad, Joel W. “CAM : a new Circuit Augmentation Method for modeling interconnects and passive components.” 2007. Web. 11 Dec 2019.

Vancouver:

Kolstad JW. CAM : a new Circuit Augmentation Method for modeling interconnects and passive components. [Internet] [Masters thesis]. Oregon State University; 2007. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1957/5855.

Council of Science Editors:

Kolstad JW. CAM : a new Circuit Augmentation Method for modeling interconnects and passive components. [Masters Thesis]. Oregon State University; 2007. Available from: http://hdl.handle.net/1957/5855

.