• 1819 Citations
  • 20 h-Index
20012021
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Personal profile

Research interests

Robotics

Education/Academic qualification

Rice University

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.

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Projects 2013 2021

Research Output 2001 2018

1 Citations

Complexity Results and Fast Methods for Optimal Tabletop Rearrangement with Overhand Grasps

Han, S. D., Stiffler, N. M., Krontiris, A., Bekris, K. & Yu, J., Dec 1 2018, In : International Journal of Robotics Research. 37, 13-14, p. 1775-1795 21 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Tabletop
Rearrangement
End effectors
Pipelines
Minimise

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.

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Identification (control systems)
Physics
Engines
Trajectories
Robots
1 Citations

Geometric reachability analysis for grasp planning in cluttered scenes for varying end-effectors

Azizi, V., Kimmel, A., Bekris, K. & Kapadia, M., Jan 12 2018, 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society, Vol. 2017-August. p. 764-769 6 p.

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

End effectors
Planning
Constraint satisfaction problems
Point contacts
Kinematics
1 Citations

Scalable asymptotically-optimal multi-robot motion planning

Dobson, A., Solovey, K., Shome, R., Halperin, D. & Bekris, K., Jan 8 2018, 2017 International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 120-127 8 p.

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-robot
Motion Planning
Asymptotically Optimal
Motion planning
Robot