Scott R. Kuindersma, Ph.D.

Affiliations: 
Computer Science University of Massachusetts, Amherst, Amherst, MA 
 Computer Science Harvard University, Cambridge, MA, United States 
Area:
Reinforcement Learning
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"Scott Kuindersma"
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Cross-listing: Computer Science Tree

Parents

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Andrew Barto grad student 2012 U Mass Amherst
 (Variable risk policy search for dynamic robot control.)
Roderic Grupen grad student 2012 U Mass Amherst (Robotree)
 (Variable risk policy search for dynamic robot control.)
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Publications

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Doshi N, Jayaram K, Castellanos S, et al. (2019) Effective locomotion at multiple stride frequencies using proprioceptive feedback on a legged microrobot. Bioinspiration & Biomimetics
Manchester Z, Doshi N, Wood RJ, et al. (2019) Contact-implicit trajectory optimization using variational integrators The International Journal of Robotics Research. 38: 1463-1476
Hermans T, Kuindersma S. (2018) Special Issue on the 2017 Robotics: Science and Systems Conference The International Journal of Robotics Research. 37: 1519-1520
Manchester Z, Kuindersma S. (2018) Robust direct trajectory optimization using approximate invariant funnels Autonomous Robots. 43: 375-387
Marion P, Fallon M, Deits R, et al. (2016) Director: A User Interface Designed for Robot Operation with Shared Autonomy Journal of Field Robotics. 34: 262-280
Kuindersma S, Deits R, Fallon M, et al. (2015) Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot Autonomous Robots
Fallon M, Kuindersma S, Karumanchi S, et al. (2015) An architecture for online affordance-based perception and whole-body planning Journal of Field Robotics. 32: 229-254
Kuindersma SR, Grupen RA, Barto AG. (2013) Variable risk control via stochastic optimization International Journal of Robotics Research. 32: 806-825
Konidaris G, Kuindersma S, Grupen R, et al. (2012) Robot learning from demonstration by constructing skill trees International Journal of Robotics Research. 31: 360-375
Kuindersma S, Grupen R, Barto A. (2011) Learning dynamic arm motions for postural recovery Ieee-Ras International Conference On Humanoid Robots. 7-12
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