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You searched for +publisher:"Georgia Tech" +contributor:("Balch, Tucker"). Showing records 1 – 22 of 22 total matches.

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Georgia Tech

1. DeMarco, Kevin James. Detection and tracking of divers for underwater human-robot interaction scenarios.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The underwater domain is a dangerous and complex environment for human divers. Often, divers have to monitor their own life support systems as they navigate… (more)

Subjects/Keywords: Diver detection; Sonar image processing; Tracking; Underwater human-robot interaction

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APA (6th Edition):

DeMarco, K. J. (2016). Detection and tracking of divers for underwater human-robot interaction scenarios. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56268

Chicago Manual of Style (16th Edition):

DeMarco, Kevin James. “Detection and tracking of divers for underwater human-robot interaction scenarios.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/56268.

MLA Handbook (7th Edition):

DeMarco, Kevin James. “Detection and tracking of divers for underwater human-robot interaction scenarios.” 2016. Web. 15 Sep 2019.

Vancouver:

DeMarco KJ. Detection and tracking of divers for underwater human-robot interaction scenarios. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/56268.

Council of Science Editors:

DeMarco KJ. Detection and tracking of divers for underwater human-robot interaction scenarios. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56268


Georgia Tech

2. Hrolenok, Brian Paul. Constructing and evaluating executable models of collective behavior.

Degree: PhD, Computer Science, 2018, Georgia Tech

 Multiagent simulation (MAS) can be a valuable tool for biologists and ethologists studying collective animal behavior. However, constructing models for simulation is often a time-consuming… (more)

Subjects/Keywords: Executable models; Machine learning; Multiagent systems

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APA (6th Edition):

Hrolenok, B. P. (2018). Constructing and evaluating executable models of collective behavior. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60751

Chicago Manual of Style (16th Edition):

Hrolenok, Brian Paul. “Constructing and evaluating executable models of collective behavior.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/60751.

MLA Handbook (7th Edition):

Hrolenok, Brian Paul. “Constructing and evaluating executable models of collective behavior.” 2018. Web. 15 Sep 2019.

Vancouver:

Hrolenok BP. Constructing and evaluating executable models of collective behavior. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/60751.

Council of Science Editors:

Hrolenok BP. Constructing and evaluating executable models of collective behavior. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60751


Georgia Tech

3. Edwards, Ashley Deloris. Emulation and imitation via perceptual goal specifications.

Degree: PhD, Computer Science, 2019, Georgia Tech

 This dissertation aims to demonstrate how perceptual goal specifications may be used as alternative representations for specifying domain-specific reward functions for reinforcement learning. The works… (more)

Subjects/Keywords: Reinforcement learning; goal specification; imitation learning; reward design

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APA (6th Edition):

Edwards, A. D. (2019). Emulation and imitation via perceptual goal specifications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61234

Chicago Manual of Style (16th Edition):

Edwards, Ashley Deloris. “Emulation and imitation via perceptual goal specifications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/61234.

MLA Handbook (7th Edition):

Edwards, Ashley Deloris. “Emulation and imitation via perceptual goal specifications.” 2019. Web. 15 Sep 2019.

Vancouver:

Edwards AD. Emulation and imitation via perceptual goal specifications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/61234.

Council of Science Editors:

Edwards AD. Emulation and imitation via perceptual goal specifications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61234

4. Maddali, Hanuma Teja. Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data.

Degree: MS, Electrical and Computer Engineering, 2014, Georgia Tech

 This research address the problem of inferring, through Radio-Frequency Identification (RFID) tracking data, the graph structures underlying social interactions in a group of rhesus macaques… (more)

Subjects/Keywords: Social structure; Dominance relations; RFID; Tracking; Spatial social networks; Agent based model; Rhesus macaque; Automatic inference; Radio frequency identification systems; Identification Equipment and supplies; Animal radio tracking; Wildlife research Technique

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APA (6th Edition):

Maddali, H. T. (2014). Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51866

Chicago Manual of Style (16th Edition):

Maddali, Hanuma Teja. “Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data.” 2014. Masters Thesis, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/51866.

MLA Handbook (7th Edition):

Maddali, Hanuma Teja. “Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data.” 2014. Web. 15 Sep 2019.

Vancouver:

Maddali HT. Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data. [Internet] [Masters thesis]. Georgia Tech; 2014. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/51866.

Council of Science Editors:

Maddali HT. Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data. [Masters Thesis]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51866

5. Cunningham, Alexander G. Scalable online decentralized smoothing and mapping.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 Many applications for field robots can benefit from large numbers of robots, especially applications where the objective is for the robots to cover or explore… (more)

Subjects/Keywords: Multi-robot mapping; Decentralized inference; Simultaneous localization and mapping; Multi-robot SLAM; Robotics; Autonomous robots; Algorithms; SLAM (Computer program language)

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APA (6th Edition):

Cunningham, A. G. (2014). Scalable online decentralized smoothing and mapping. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51848

Chicago Manual of Style (16th Edition):

Cunningham, Alexander G. “Scalable online decentralized smoothing and mapping.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/51848.

MLA Handbook (7th Edition):

Cunningham, Alexander G. “Scalable online decentralized smoothing and mapping.” 2014. Web. 15 Sep 2019.

Vancouver:

Cunningham AG. Scalable online decentralized smoothing and mapping. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/51848.

Council of Science Editors:

Cunningham AG. Scalable online decentralized smoothing and mapping. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51848

6. Ta Huynh, Duy Nguyen. The roles of allocentric representations in autonomous local navigation.

Degree: PhD, Computer Science, 2015, Georgia Tech

 In this thesis, I study the computational advantages of the allocentric represen- tation as compared to the egocentric representation for autonomous local navigation. Whereas in… (more)

Subjects/Keywords: Allocentric; Egocentric; Autonomous navigation; SLAM; Obstacle avoidance; Model predictive control; Lie groups; Robotics

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APA (6th Edition):

Ta Huynh, D. N. (2015). The roles of allocentric representations in autonomous local navigation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53489

Chicago Manual of Style (16th Edition):

Ta Huynh, Duy Nguyen. “The roles of allocentric representations in autonomous local navigation.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/53489.

MLA Handbook (7th Edition):

Ta Huynh, Duy Nguyen. “The roles of allocentric representations in autonomous local navigation.” 2015. Web. 15 Sep 2019.

Vancouver:

Ta Huynh DN. The roles of allocentric representations in autonomous local navigation. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/53489.

Council of Science Editors:

Ta Huynh DN. The roles of allocentric representations in autonomous local navigation. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53489

7. Chopra, Smriti. Spatio-temporal multi-robot routing.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 We analyze spatio-temporal routing under various constraints specific to multi-robot applications. Spatio-temporal routing requires multiple robots to visit spatial locations at specified time instants, while… (more)

Subjects/Keywords: Assignment problems; Combinatorial optimization; Distributed algorithms; Networked robotics; Vehicle routing; Music

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APA (6th Edition):

Chopra, S. (2015). Spatio-temporal multi-robot routing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53383

Chicago Manual of Style (16th Edition):

Chopra, Smriti. “Spatio-temporal multi-robot routing.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/53383.

MLA Handbook (7th Edition):

Chopra, Smriti. “Spatio-temporal multi-robot routing.” 2015. Web. 15 Sep 2019.

Vancouver:

Chopra S. Spatio-temporal multi-robot routing. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/53383.

Council of Science Editors:

Chopra S. Spatio-temporal multi-robot routing. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53383

8. Moshkina, Lilia V. An integrative framework of time-varying affective robotic behavior.

Degree: PhD, Computing, 2011, Georgia Tech

 As robots become more and more prevalent in our everyday life, making sure that our interactions with them are natural and satisfactory is of paramount… (more)

Subjects/Keywords: Human-robot interaction; Affective computing; Affective robotics; Social robotics; Robotics; Robots

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APA (6th Edition):

Moshkina, L. V. (2011). An integrative framework of time-varying affective robotic behavior. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39568

Chicago Manual of Style (16th Edition):

Moshkina, Lilia V. “An integrative framework of time-varying affective robotic behavior.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/39568.

MLA Handbook (7th Edition):

Moshkina, Lilia V. “An integrative framework of time-varying affective robotic behavior.” 2011. Web. 15 Sep 2019.

Vancouver:

Moshkina LV. An integrative framework of time-varying affective robotic behavior. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/39568.

Council of Science Editors:

Moshkina LV. An integrative framework of time-varying affective robotic behavior. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39568

9. Kira, Zsolt. Communication and alignment of grounded symbolic knowledge among heterogeneous robots.

Degree: PhD, Computing, 2010, Georgia Tech

 Experience forms the basis of learning. It is crucial in the development of human intelligence, and more broadly allows an agent to discover and learn… (more)

Subjects/Keywords: Heterogeneous robot teams; Robot transfer learning; Grounded concept learning; Cognitive Vision; Robot perception; Conceptual spaces; Machine learning; Robotics; Multiagent systems

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APA (6th Edition):

Kira, Z. (2010). Communication and alignment of grounded symbolic knowledge among heterogeneous robots. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33941

Chicago Manual of Style (16th Edition):

Kira, Zsolt. “Communication and alignment of grounded symbolic knowledge among heterogeneous robots.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/33941.

MLA Handbook (7th Edition):

Kira, Zsolt. “Communication and alignment of grounded symbolic knowledge among heterogeneous robots.” 2010. Web. 15 Sep 2019.

Vancouver:

Kira Z. Communication and alignment of grounded symbolic knowledge among heterogeneous robots. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/33941.

Council of Science Editors:

Kira Z. Communication and alignment of grounded symbolic knowledge among heterogeneous robots. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33941

10. Haque, Musad Al. Biologically inspired heterogeneous multi-agent systems.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 Many biological systems are known to accomplish complex tasks in a decentralized, robust, and scalable manner - characteristics that are desirable to the coordination of… (more)

Subjects/Keywords: Multi-agent systems; Biologically-inspired; Coordination strategies; Multiagent systems; Systems engineering

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APA (6th Edition):

Haque, M. A. (2010). Biologically inspired heterogeneous multi-agent systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37138

Chicago Manual of Style (16th Edition):

Haque, Musad Al. “Biologically inspired heterogeneous multi-agent systems.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/37138.

MLA Handbook (7th Edition):

Haque, Musad Al. “Biologically inspired heterogeneous multi-agent systems.” 2010. Web. 15 Sep 2019.

Vancouver:

Haque MA. Biologically inspired heterogeneous multi-agent systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/37138.

Council of Science Editors:

Haque MA. Biologically inspired heterogeneous multi-agent systems. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37138

11. O'Hara, Keith Joseph. Leveraging distribution and heterogeneity in robot systems architecture.

Degree: PhD, Computing, 2011, Georgia Tech

 Like computer architects, robot designers must address multiple, possibly competing, requirements by balancing trade-offs in terms of processing, memory, communication, and energy to satisfy design… (more)

Subjects/Keywords: Multi-robot systems; Robot architecture; Robotics; Distributed robotics; Robot education; Robots Programming; Robots; Robots, Industrial

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APA (6th Edition):

O'Hara, K. J. (2011). Leveraging distribution and heterogeneity in robot systems architecture. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42706

Chicago Manual of Style (16th Edition):

O'Hara, Keith Joseph. “Leveraging distribution and heterogeneity in robot systems architecture.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/42706.

MLA Handbook (7th Edition):

O'Hara, Keith Joseph. “Leveraging distribution and heterogeneity in robot systems architecture.” 2011. Web. 15 Sep 2019.

Vancouver:

O'Hara KJ. Leveraging distribution and heterogeneity in robot systems architecture. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/42706.

Council of Science Editors:

O'Hara KJ. Leveraging distribution and heterogeneity in robot systems architecture. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42706

12. Ratti, Jayant. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.

Degree: PhD, Robotics, 2011, Georgia Tech

 The conventional Mini and Large scale Unmanned Aerial Vehicle systems span anywhere from approximately 12 inches to 12 feet; endowing them with larger propulsion systems,… (more)

Subjects/Keywords: Biomimetic; Aerial robotics; MAV; Four wing; Flapping wing; Energy efficient; Biologically inspired; Micro aerial vehicle; Micro robotics; Micro air vehicles; Drone aircraft; Airplanes Wings; Energy harvesting; Actuators; Automatic pilot (Airplanes); Avionics

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APA (6th Edition):

Ratti, J. (2011). QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44695

Chicago Manual of Style (16th Edition):

Ratti, Jayant. “QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/44695.

MLA Handbook (7th Edition):

Ratti, Jayant. “QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.” 2011. Web. 15 Sep 2019.

Vancouver:

Ratti J. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/44695.

Council of Science Editors:

Ratti J. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44695

13. Rogers, John Gilbert. Life-long mapping of objects and places in domestic environments.

Degree: PhD, Robotics, 2013, Georgia Tech

 In the future, robots will expand from industrial and research applications to the home. Domestic service robots will work in the home to perform useful… (more)

Subjects/Keywords: Semantic mapping; Mobile robotics; SLAM; Robots; Mobile robots; Mappings (Mathematics)

…44 9 OmniMapper CSM builds a map of the Boeing lab at the MIRC building at Georgia Tech… …58 2 3 4 5 6 7 10 11 12 xiii 13 The Georgia Tech robot ”Jeeves”. Left: Full robot… …65 Jeeves searching for Toys in the Aware Home at Georgia Tech using the PCM Planner… 

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APA (6th Edition):

Rogers, J. G. (2013). Life-long mapping of objects and places in domestic environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47736

Chicago Manual of Style (16th Edition):

Rogers, John Gilbert. “Life-long mapping of objects and places in domestic environments.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/47736.

MLA Handbook (7th Edition):

Rogers, John Gilbert. “Life-long mapping of objects and places in domestic environments.” 2013. Web. 15 Sep 2019.

Vancouver:

Rogers JG. Life-long mapping of objects and places in domestic environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/47736.

Council of Science Editors:

Rogers JG. Life-long mapping of objects and places in domestic environments. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47736

14. Pippin, Charles Everett. Trust and reputation for formation and evolution of multi-robot teams.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Agents in most types of societies use information about potential partners to determine whether to form mutually beneficial partnerships. We can say that when this… (more)

Subjects/Keywords: Trust; Reputation; Multi-robot cooperation; Task assignment; Robots; Evolutionary robotics; Multiagent systems

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APA (6th Edition):

Pippin, C. E. (2013). Trust and reputation for formation and evolution of multi-robot teams. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50376

Chicago Manual of Style (16th Edition):

Pippin, Charles Everett. “Trust and reputation for formation and evolution of multi-robot teams.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/50376.

MLA Handbook (7th Edition):

Pippin, Charles Everett. “Trust and reputation for formation and evolution of multi-robot teams.” 2013. Web. 15 Sep 2019.

Vancouver:

Pippin CE. Trust and reputation for formation and evolution of multi-robot teams. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/50376.

Council of Science Editors:

Pippin CE. Trust and reputation for formation and evolution of multi-robot teams. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50376

15. Feldman, Adam Michael. Using observations to recognize the behavior of interacting multi-agent systems.

Degree: PhD, Computing, 2008, Georgia Tech

 Behavioral research involves the study of the behaviors of one or more agents (often animals) in order to better understand the agents' thoughts and actions.… (more)

Subjects/Keywords: Behavior recognition; Multi-target tracking; Behavioral assessment; Automatic data collection systems; Automatic tracking

…names, but you know who you are. Thanks also must go to my friends, both at Georgia Tech and… 

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APA (6th Edition):

Feldman, A. M. (2008). Using observations to recognize the behavior of interacting multi-agent systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24771

Chicago Manual of Style (16th Edition):

Feldman, Adam Michael. “Using observations to recognize the behavior of interacting multi-agent systems.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/24771.

MLA Handbook (7th Edition):

Feldman, Adam Michael. “Using observations to recognize the behavior of interacting multi-agent systems.” 2008. Web. 15 Sep 2019.

Vancouver:

Feldman AM. Using observations to recognize the behavior of interacting multi-agent systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/24771.

Council of Science Editors:

Feldman AM. Using observations to recognize the behavior of interacting multi-agent systems. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24771

16. Novitzky, Michael. TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork.

Degree: PhD, Interactive Computing, 2015, Georgia Tech

 One key to more effective cooperative interaction in a multi-robot team is the ability to understand the behavior and intent of other robots. Observed teammate… (more)

Subjects/Keywords: Autonomous vehicles; Underwater; Surface; Multi-robot cooperation; Behavior recognition; Trajectory recognition

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APA (6th Edition):

Novitzky, M. (2015). TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54367

Chicago Manual of Style (16th Edition):

Novitzky, Michael. “TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/54367.

MLA Handbook (7th Edition):

Novitzky, Michael. “TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork.” 2015. Web. 15 Sep 2019.

Vancouver:

Novitzky M. TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/54367.

Council of Science Editors:

Novitzky M. TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54367

17. Sun, Jie. Object categorization for affordance prediction.

Degree: PhD, Computing, 2008, Georgia Tech

 A fundamental requirement of any autonomous robot system is the ability to predict the affordances of its environment, which define how the robot can interact… (more)

Subjects/Keywords: Affordance; Categorization; Robotics; Perception; Learning; Recognition; Robots Experiments; Autonomous robots; Categorization (Psychology)

…mentorship and guidance throughout my graduate study at Georgia Tech. I have always been inspired… 

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APA (6th Edition):

Sun, J. (2008). Object categorization for affordance prediction. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24625

Chicago Manual of Style (16th Edition):

Sun, Jie. “Object categorization for affordance prediction.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/24625.

MLA Handbook (7th Edition):

Sun, Jie. “Object categorization for affordance prediction.” 2008. Web. 15 Sep 2019.

Vancouver:

Sun J. Object categorization for affordance prediction. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/24625.

Council of Science Editors:

Sun J. Object categorization for affordance prediction. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24625


Georgia Tech

18. Stoytchev, Alexander. Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use.

Degree: PhD, Computing, 2007, Georgia Tech

 The ability to use tools is one of the hallmarks of intelligence. Tool use is fundamental to human life and has been for at least… (more)

Subjects/Keywords: Autonomous tool use; Self-detection in robots; Video-guided behaviors; Robot body schema; Learning of affordances; Developmental robotics; Self-consciousness (Awareness); Tools; Autonomous robots

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APA (6th Edition):

Stoytchev, A. (2007). Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16139

Chicago Manual of Style (16th Edition):

Stoytchev, Alexander. “Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/16139.

MLA Handbook (7th Edition):

Stoytchev, Alexander. “Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use.” 2007. Web. 15 Sep 2019.

Vancouver:

Stoytchev A. Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/16139.

Council of Science Editors:

Stoytchev A. Robot Tool Behavior: A Developmental Approach to Autonomous Tool Use. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16139


Georgia Tech

19. Martinson, Eric Beowulf. Acoustical Awareness for Intelligent Robotic Action.

Degree: PhD, Computing, 2007, Georgia Tech

 With the growth of successes in pattern recognition and signal processing, mobile robot applications today are increasingly equipping their hardware with microphones to improve the… (more)

Subjects/Keywords: Sound fields; Evidence grids; Stealthy approach; Mobile robots; Detectors; Sound; Motion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martinson, E. B. (2007). Acoustical Awareness for Intelligent Robotic Action. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19724

Chicago Manual of Style (16th Edition):

Martinson, Eric Beowulf. “Acoustical Awareness for Intelligent Robotic Action.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/19724.

MLA Handbook (7th Edition):

Martinson, Eric Beowulf. “Acoustical Awareness for Intelligent Robotic Action.” 2007. Web. 15 Sep 2019.

Vancouver:

Martinson EB. Acoustical Awareness for Intelligent Robotic Action. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/19724.

Council of Science Editors:

Martinson EB. Acoustical Awareness for Intelligent Robotic Action. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19724


Georgia Tech

20. Ranganathan, Ananth. Probabilistic topological maps.

Degree: PhD, Computing, 2008, Georgia Tech

 Topological maps are light-weight, graphical representations of environments that are scalable and amenable to symbolic manipulation. Thus, they are well- suited for basic robot navigation… (more)

Subjects/Keywords: Bayesian inference; Topologies; Robotic mapping; Topological maps; Mobile robots; Navigation; Algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ranganathan, A. (2008). Probabilistic topological maps. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22643

Chicago Manual of Style (16th Edition):

Ranganathan, Ananth. “Probabilistic topological maps.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/22643.

MLA Handbook (7th Edition):

Ranganathan, Ananth. “Probabilistic topological maps.” 2008. Web. 15 Sep 2019.

Vancouver:

Ranganathan A. Probabilistic topological maps. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/22643.

Council of Science Editors:

Ranganathan A. Probabilistic topological maps. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22643


Georgia Tech

21. Endo, Yoichiro. Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior.

Degree: PhD, Computing, 2008, Georgia Tech

 Recently in robotics, substantial efforts have been invested on critical applications such as military, nursing, and search-and-rescue. These applications are critical in a sense that… (more)

Subjects/Keywords: Somatic marker; POMDP; Improvisational robot; Anticipatory robot; Hippocampus; Episodic memory; Robotics; Artificial intelligence; Expectation (Psychology); Machine learning; Markov processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Endo, Y. (2008). Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26466

Chicago Manual of Style (16th Edition):

Endo, Yoichiro. “Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/26466.

MLA Handbook (7th Edition):

Endo, Yoichiro. “Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior.” 2008. Web. 15 Sep 2019.

Vancouver:

Endo Y. Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/26466.

Council of Science Editors:

Endo Y. Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26466


Georgia Tech

22. Wolff, Sebastien Jean. Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks.

Degree: PhD, Mechanical Engineering, 2006, Georgia Tech

 This work develops optimal assembly sequences for modular building blocks. The underlying concept is that an automated device could take a virtual shape such as… (more)

Subjects/Keywords: Statically stable assembly sequence generation; Rapid prototyping; Shapes Design and construction Automation; Assembly-line methods Automation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wolff, S. J. (2006). Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14045

Chicago Manual of Style (16th Edition):

Wolff, Sebastien Jean. “Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/14045.

MLA Handbook (7th Edition):

Wolff, Sebastien Jean. “Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks.” 2006. Web. 15 Sep 2019.

Vancouver:

Wolff SJ. Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/14045.

Council of Science Editors:

Wolff SJ. Statically Stable Assembly Sequence Generation And Structure Optimization For A Large Number Of Identical Building Blocks. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14045

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