Kleinbort, M., K. Solovey, Z Littlefield, KE Bekris, and D. Halperin. 2019. “Probabilistic Completeness Of Rrt For Geometric And Kinodynamic Planning With Forward Propagation”. IEEE Robotics and Automation Letters (RA-L).

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.

Shuai, H., N. Stiffler, A Krontiris, KE Bekris, and J. Yu. 2018. “Complexity Results And Fast Methods For Optimal Tabletop Rearrangement With Overhand Grasps”. International Journal of Robotics Research (IJRR).

Rennie, C., and KE Bekris. 2018. “Discovering A Library Of Rhythmic Gaits For Spherical Tensegrity Locomotion”. In IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia. https://www.cs.rutgers.edu/~kb572/pubs/gps_bo_svm_tensegrity.pdf.

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. https://www.cs.rutgers.edu/~kb572/pubs/iros_dirt.pdf.

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)] 3(3): 1608--1615. 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.

Shome, R., K. Solovey, J. Yu, KE Bekris, and D. Halperin. 2018. “Fast And High-Quality Dual-Arm Rearrangement In Synchronous, Monotone Tabletop Setups”. In Workshop on the Algorithmic Foundations of Robotics (WAFR), Mérida, México.

Kimmel, A, R. Shome, Z Littlefield, and KE Bekris. 2018. “Fast, Anytime Motion Planning For Prehensile Manipulation In Clutter”. In 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids 2018), Beijing, China.

Zhu, S., A Kimmel, KE Bekris, and A. Boularias. 2018. “Fast Model Identification Via Physics Engines For Data-Efficient Policy Search”. In International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden. https://www.cs.rutgers.edu/~kb572/pubs/physics_model_id.pdf.

Mitash, C., A. Boularias, and KE Bekris. 2018. “Improving 6D Pose Estimation Of Objects In Clutter Via Physics-Aware Monte Carlo Tree Search”. In IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia. https://www.cs.rutgers.edu/~kb572/pubs/physics_mcts_pose_estimation.pdf.

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. https://arxiv.org/abs/1805.06324.

Hodan, T., R. Kouskouridas, T.-K. Kim, F. Tombari, KE Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, and J. Matas. 2018. ECCV Workshop Reports A Summary Of The 4Th International Workshop On Recovering 6D Object Pose. https://arxiv.org/abs/1810.03758.

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.

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.

Littlefield, Z, D. Surovik, W. Wang, and KE Bekris. 2017. “From Quasi-Static To Kinodynamic Planning For Spherical Tensegrity Locomotion”. In International Symosium on Robotics Research (ISRR), Puerto Varas, Chile. https://www.cs.rutgers.edu/~kb572/pubs/isrr17_quasistatic_kinodynamic.pdf.

Azizi, V., A Kimmel, KE Bekris, and M. Kapadia. 2017. “Geometric Reachability Analysis For Grasp Planning In Cluttered Scenes For Varying End-Effectors”. 13th IEEE International Conference on Automation Science and Engineering (CASE 2017). https://www.cs.rutgers.edu/~kb572/pubs/grasping_planning_precision.pdf.

Shuai, H., N. Stiffler, A Krontiris, KE Bekris, and J. Yu. 2017. “High-Quality Tabletop Rearrangement With Overhand Grasps: Hardness Results And Fast Methods”. In Robotics: Science and Systems (RSS), Cambridge, MA: [Best Student Paper Award Finalist]. https://arxiv.org/pdf/1705.09180.pdf.

Shome, R., and KE Bekris. 2017. “Improving The Scalability Of Asymptotically Optimal Motion Planning For Humanoid Dual-Arm Manipulators”. In IEEE International Conference on Humanoid Robots, Birmingham, UK. https://www.cs.rutgers.edu/~kb572/pubs/asymp_optimal_dual_arm.pdf.

Littlefield, Z, and KE Bekris. 2017. “Informed Asymptotically Near-Optimal Planning For Field Robots With Dynamics”. In 11th Conference on Field and Service Robotics (FSR) 2017, Zurich, Switzerland. https://www.cs.rutgers.edu/~kb572/pubs/fsr_isst.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.

Mitash, C., KE Bekris, and A. Boularias. 2017. “A Self-Supervised Learning System For Object Detection Using Physics Simulation And Multi-View Pose Estimation”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada. https://www.cs.rutgers.edu/~kb572/pubs/physics_object_detection.pdf.

Krontiris, A, and KE Bekris. 2017. “Tradeoffs In The Computation Of Minimum Constraint Removal Paths For Manipulation Planning”. Advanced Robotics Journal 31: 1313-1324. https://www.cs.rutgers.edu/~kb572/pubs/min_constraint_removal.pdf.

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.

Correll, N., KE Bekris, D. Berenson, O. Brock, A. Causo, K. Hauser, K. Okada, A. Rodriguez, J. Romano, and P. Wurman. 2016. “Analysis And Observations From The First Amazon Picking Challenge”. IEEE Transactions on Automation Science and Engineering (T-ASE) (99): 1-17. http://www.cs.rutgers.edu/~kb572/pubs/apc_tase_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.

Krontiris, A, and KE Bekris. 2016. “Efficiently Solving General Rearrangement Tasks: A Fast Extension Primitive For An Incremental Sampling-Based Planner”. In International Conference on Robotics and Automation (ICRA), Stockholm, Sweden. http://www.cs.rutgers.edu/~kb572/pubs/fast_object_rearrangement.pdf.