Projects per year
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Robots
Engineering & Materials Science
Reinforcement learning
Engineering & Materials Science
Physics
Engineering & Materials Science
Robotics
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
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Engineering & Materials Science
Demonstrations
Engineering & Materials Science
Clutter
Mathematics
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Projects 2017 2020
- 1 Active
S&As: Fnd: Reflective Learning Of Stochastic Physical Models For Robust Manipulation
National Science Foundation (NSF)
9/1/17 → 8/31/20
Project: Research project
Robots
Robotics
Stochastic models
Simulators
Robotic arms
Research Output 2007 2019
Inferring 3D Shapes of Unknown Rigid Objects in Clutter Through Inverse Physics Reasoning
Song, C. & Boularias, A., Apr 1 2019, In : IEEE Robotics and Automation Letters. 4, 2, p. 201-208 8 p., 8567926.Research output: Contribution to journal › Article
3D shape
Clutter
Physics
Reasoning
Unknown
Learning a State Transition Model of an Underactuated Adaptive Hand
Sintov, A., Morgan, A. S., Kimmel, A., Dollar, A. M., Bekris, K. & Boularias, A., Apr 1 2019, In : IEEE Robotics and Automation Letters. 4, 2, p. 1287-1294 8 p., 8624443.Research output: Contribution to journal › Article
Transition Model
Stochastic systems
State Transition
Stochastic Systems
Actuator
Physics-based scene-level reasoning for object pose estimation in clutter
Mitash, C., Boularias, A. & Bekris, K., Jan 1 2019, In : International Journal of Robotics Research.Research output: Contribution to journal › Article
Pose Estimation
Clutter
Labels
Robotics
Physics
Efficient Model Identification for Tensegrity Locomotion
Zhu, S., Surovik, D., Bekris, K. & Boularias, A., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 2985-2990 6 p. 8594425. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Identification (control systems)
Robots
Robotics
Physics
Engines
Fast model identification via physics engines for data-efficient policy search
Zhu, S., Kimmel, A., Bekris, K. & Boularias, A., Jan 1 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3249-3256 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Identification (control systems)
Physics
Engines
Trajectories
Robots