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You searched for +publisher:"Rice University" +contributor:("Moll, Mark"). Showing records 1 – 5 of 5 total matches.

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Rice University

1. Willey, Bryce Steven. Combining Sampling and Optimizing for Robotic Path Planning.

Degree: MS, Computer Science, 2018, Rice University

 Robotic path planning is a critical problem in autonomous robotics. Two com- mon approaches to robotic path planning are sampling-based motion planners and continuous optimization… (more)

Subjects/Keywords: Robotics; Path Planning

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

APA (6th Edition):

Willey, B. S. (2018). Combining Sampling and Optimizing for Robotic Path Planning. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105858

Chicago Manual of Style (16th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Masters Thesis, Rice University. Accessed April 04, 2020. http://hdl.handle.net/1911/105858.

MLA Handbook (7th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Web. 04 Apr 2020.

Vancouver:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Internet] [Masters thesis]. Rice University; 2018. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1911/105858.

Council of Science Editors:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105858


Rice University

2. Willey, Bryce Steven. Combining Sampling and Optimizing for Robotic Path Planning.

Degree: MS, Computer Science, 2018, Rice University

 Robotic path planning is a critical problem in autonomous robotics. Two com- mon approaches to robotic path planning are sampling-based motion planners and continuous optimization… (more)

Subjects/Keywords: Robotics; Path Planning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Willey, B. S. (2018). Combining Sampling and Optimizing for Robotic Path Planning. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105857

Chicago Manual of Style (16th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Masters Thesis, Rice University. Accessed April 04, 2020. http://hdl.handle.net/1911/105857.

MLA Handbook (7th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Web. 04 Apr 2020.

Vancouver:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Internet] [Masters thesis]. Rice University; 2018. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1911/105857.

Council of Science Editors:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105857


Rice University

3. Chyan, Jeffrey. Examining the Use of Homology Models in Predicting Kinase Binding Affinity.

Degree: MS, Engineering, 2013, Rice University

 Drug design is a difficult and multi-faceted problem that has led to extensive interdiscplinary work in the field of computational biology. In recent years, several… (more)

Subjects/Keywords: Semi-supervised learning; Bioinformatics; Computational biology; Proteins; Kinase; Binding affinity; Homology model; Functional annotation

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

APA (6th Edition):

Chyan, J. (2013). Examining the Use of Homology Models in Predicting Kinase Binding Affinity. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/76482

Chicago Manual of Style (16th Edition):

Chyan, Jeffrey. “Examining the Use of Homology Models in Predicting Kinase Binding Affinity.” 2013. Masters Thesis, Rice University. Accessed April 04, 2020. http://hdl.handle.net/1911/76482.

MLA Handbook (7th Edition):

Chyan, Jeffrey. “Examining the Use of Homology Models in Predicting Kinase Binding Affinity.” 2013. Web. 04 Apr 2020.

Vancouver:

Chyan J. Examining the Use of Homology Models in Predicting Kinase Binding Affinity. [Internet] [Masters thesis]. Rice University; 2013. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1911/76482.

Council of Science Editors:

Chyan J. Examining the Use of Homology Models in Predicting Kinase Binding Affinity. [Masters Thesis]. Rice University; 2013. Available from: http://hdl.handle.net/1911/76482


Rice University

4. Grady, Devin. Motion Planning with Uncertain Information in Robotic Tasks.

Degree: PhD, Engineering, 2014, Rice University

 In the real world, robots operate with imperfect sensors providing uncertain and incomplete information. We develop techniques to solve motion planning problems with imperfect information… (more)

Subjects/Keywords: Robotics; Motion planning; POMDP; Sensory noise

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

APA (6th Edition):

Grady, D. (2014). Motion Planning with Uncertain Information in Robotic Tasks. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/76728

Chicago Manual of Style (16th Edition):

Grady, Devin. “Motion Planning with Uncertain Information in Robotic Tasks.” 2014. Doctoral Dissertation, Rice University. Accessed April 04, 2020. http://hdl.handle.net/1911/76728.

MLA Handbook (7th Edition):

Grady, Devin. “Motion Planning with Uncertain Information in Robotic Tasks.” 2014. Web. 04 Apr 2020.

Vancouver:

Grady D. Motion Planning with Uncertain Information in Robotic Tasks. [Internet] [Doctoral dissertation]. Rice University; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1911/76728.

Council of Science Editors:

Grady D. Motion Planning with Uncertain Information in Robotic Tasks. [Doctoral Dissertation]. Rice University; 2014. Available from: http://hdl.handle.net/1911/76728

5. Willey, Bryce Steven. Combining Sampling and Optimizing for Robotic Path Planning.

Degree: MS, Engineering, 2018, Rice University

 Robotic path planning is a critical problem in autonomous robotics. Two com- mon approaches to robotic path planning are sampling-based motion planners and continuous optimization… (more)

Subjects/Keywords: Robotics; Path Planning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Willey, B. S. (2018). Combining Sampling and Optimizing for Robotic Path Planning. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105856

Chicago Manual of Style (16th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Masters Thesis, Rice University. Accessed April 04, 2020. http://hdl.handle.net/1911/105856.

MLA Handbook (7th Edition):

Willey, Bryce Steven. “Combining Sampling and Optimizing for Robotic Path Planning.” 2018. Web. 04 Apr 2020.

Vancouver:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Internet] [Masters thesis]. Rice University; 2018. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1911/105856.

Council of Science Editors:

Willey BS. Combining Sampling and Optimizing for Robotic Path Planning. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105856

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