Projects per year
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 21 Similar Profiles
Robots
Engineering & Materials Science
Reinforcement learning
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Navigation
Engineering & Materials Science
Robotics
Engineering & Materials Science
Demonstrations
Engineering & Materials Science
Physics
Engineering & Materials Science
Teaching
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 2018
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, Vol. 2018-July. p. 3249-3256 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Identification (control systems)
Physics
Engines
Trajectories
Robots
Anticipatory action selection for human–robot table tennis
Wang, Z., Boularias, A., Mülling, K., Schölkopf, B. & Peters, J., Jun 1 2017, In : Artificial Intelligence. 247, p. 399-414 16 p.Research output: Contribution to journal › Article
robot
Robots
Dynamic models
Human robot interaction
interaction
A self-supervised learning system for object detection using physics simulation and multi-view pose estimation
Mitash, C., Bekris, K. & Boularias, A., Dec 13 2017, IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-September. p. 545-551 7 p. 8202206Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Supervised learning
Learning systems
Physics
Robotics
Robotic arms
Gradients weights improve regression and classification
Kpotufe, S., Boularias, A., Schultz, T. & Kim, K., Apr 1 2016, In : Journal of Machine Learning Research. 17Rutgers, The State University, Princeton University
Research output: Contribution to journal › Article
Weighting
Regression
Feature Weighting
Gradient
Derivatives
Learning qualitative spatial relations for robotic navigation
Boularias, A., Duvallet, F., Oh, J. & Stentz, A., Jan 1 2016, In : IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 4130-4134 5 p.Research output: Contribution to journal › Conference article
Navigation
Robotics
Robots
Railroad cars
Hydrants