Nick Malone
PhD Student
Mailing address:
Mail stop: MSC01 11001 University of New Mexico
Contact:
E-Mail:
Office:
349B Farris
Phone:
Fax:
505.277.6927
I am a PhD student at the University of New Mexico, working with Dr. Lydia Tapia and Dr. John Wood on robotic learning and path planing. I earned a undergraduate degree in Computer Science with a minor in mathematics at the University of Tulsa. At the University of Tulsa I also completed a master in Computer science.
CV: pdf
Projects:
Publications
- Nick Malone, Hao-Tien Chiang, Kendra Lesser, Meeko Oishi, Lydia Tapia, "Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field", IEEE Transactions on Robotics, 33(8), pp. 1124-1138, Oct. 2017. (pdf, Bibtex)
- Nick Malone, Aleksandra Faust, Brandon Rohrer, John Wood, Lydia Tapia, "Efficient Motion-based Task Learning," Robot Motion Planning Workshop, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, Oct. 2012.
(pdf, BibTex, abstract, presentation)
- Nick Malone, Brandon Rohrer, Lydia Tapia, Ron Lumia, John Wood, "Implementation of an Embodied General Reinforcement Learner on a Serial Link Manipulator," In Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 862-869, St. Paul, MN, U.S.A., May 2012.
(pdf, BibTex, abstract, presentation)
- Nick Malone, Kasra Manavi, John Wood, Lydia Tapia, "Construction and Use of Roadmaps that Incorporate Workspace Modeling Errors," In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1264-1271, Tokyo, Japan, Nov. 2013.
(pdf, BibTex, abstract)
- Nick Malone, Aleksandra Faust, Brandon Rohrer, Ron Lumia, John Wood, Lydia Tapia, "Efficient Motion-based Task Learning for a Serial Link Manipulator", In Transactions on Control and Mechanical Systems, 3(1), Jan. 2014. (pdf, Bibtex)
- Nick Malone, Kendra Lesser, Meeko Oishi, Lydia Tapia, "Stochastic Reachability Based Motion Planning for Multiple Moving Obstacle Avoidance", In Proc. International Conference on Hybrid Systems: Computation and Control (HSCC), pp. 51-60, Berlin, Germany, Apr. 2014.
(pdf, Bibtex, Video)
