Publications

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2018
Surovik, D., J. Bruce, K Wang, M. Vespignani, and KE Bekris. 2018. Any-Axis Tensegrity Rolling Via Bootstrapped Learning And Symmetry Reduction. In International Symposium on Experimental Robotics (ISER), Buenos Aires, Argentina.
Littlefield, Z, and KE Bekris. 2018. Efficient And Asymptotically Optimal Kinodynamic Motion Planning Via Dominance-Informed Regions. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.
Shuai, H., N. Stiffler, KE Bekris, and J. Yu. 2018. Efficient, High-Quality Stack Rearrangement. IEEE Robotics and Automation Letters (RA-L) [Also accepted to appear at the 2018 IEEE International Conference on Robotics and Automation (ICRA)]. https://www.cs.rutgers.edu/~kb572/pubs/stack_rearrangement.pdf.
Zhu, S., D. Surovik, KE Bekris, and A. Boularias. 2018. Efficient Model Identification For Tensegrity Locomotion. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.
Zhu, S., D. Surovik, KE Bekris, and A. Boularias. 2018. AAAI Spring Symposium Series 2018 Information-Efficient Model Identification For Tensegrity Robot Locomotion. Stanford University, CA, USA.
Calli, B., A Kimmel, K. Hang, KE Bekris, and A. Dollar. 2018. Path Planning For Within-Hand Manipulation Over Learned Representations Of Safe States. In International Symposium on Experimental Robotics (ISER), Buenos Aires, Argentina.
Mitash, C., A. Boularias, and KE Bekris. 2018. Robust 6D Pose Estimation With Stochastic Congruent Sets. In British Machine Vision (BMVC) conference, Newcastle, UK.
Surovik, D., and KE Bekris. 2018. Symmetric Reduction Of Tensegrity Rover Dynamics For Efficient Data-Driven Control. In ASCE Earth and Space Conference, Symposium on "Tensegrity - Structural Concept and Applications", Cleveland, Ohio. https://www.cs.rutgers.edu/~kb572/pubs/asce_sym.pdf.
2017
Surovik, D., and KE Bekris. 2017. Deep Coverage: Motion Synthesis In The Data-Driven Era. In International Symposium on Robotics Research (ISRR), Puerto Varas, Chile. http://www.cs.rutgers.edu/~kb572/pubs/deep_coverage.pdf.
Dobson, A, K. Solovey, R. Shome, D. Halperin, and KE Bekris. 2017. Scalable Asymptotically-Optimal Multi-Robot Motion Planning. In 1st IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Los Angeles, CA, USA: [Best Paper Award]. https://www.cs.rutgers.edu/~kb572/pubs/scalable_asympt_opt_multi_robot.pdf.
2016
Krontiris, A, KE Bekris, and M. Kapadia. 2016. Acumen: Activity-Centric Crowd Authoring Using Influence Maps. In 29th International Conference on Computer Animation and Social Agents (CASA), Geneva, Switzerland. https://www.cs.rutgers.edu/~kb572/pubs/acumen_casa_2016.pdf.
Li, Y, Z Littlefield, and KE Bekris. 2016. Asymptotically Optimal Sampling-Based Kinodynamic Planning. International Journal of Robotics Research (IJRR) 35(5): 528-564. http://arxiv.org/abs/1407.2896.
Rennie, C., R. Shome, KE Bekris, and Ferreira A. De Souza. 2016. A Dataset For Improved Rgbd-Based Object Detection And Pose Estimation For Warehouse Pick-And-Place. IEEE Robotics and Automation Letters (RA-L) [Also accepted to appear at the 2016 IEEE International Conference on Robotics and Automation (ICRA)] 1(2): 1179 - 1185. http://www.cs.rutgers.edu/~kb572/pubs/icra16_pose_estimation.pdf.
2015
Bekris, KE, R. Shome, A Krontiris, and A Dobson. 2015. Cloud Automation: Precomputing Roadmaps For Flexible Manipulation. IEEE Robotics and Automation Magazine (accepted)(Special Issue on "Emerging Advances and Applications in Automation"). http://www.cs.rutgers.edu/~kb572/pubs/cloud_manipulation.pdf.

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