Zhu, S., D. Surovik, KE Bekris, and A. Boularias. 2019. “Closing The Reality Gap Of Robotic Simulators Through Task-Oriented Bayesian Optimization”. Journal of Machine Learning Research.

Shome, R., K. Solovey, A Dobson, D. Halperin, and KE Bekris. 2019. “Drrt*: Scalable And Informed Asymptotically-Optimal Multi-Robot Motion Planning”. Autonomous Robots. https://www.cs.rutgers.edu/~kb572/pubs/drrt_star_auro.pdf.

Littlefield, Z, D. Surovik, M. Vespignani, J. Bruce, W. Wang, and KE Bekris. 2019. “Kinodynamic Planning For Spherical Tensegrity Locomotion With Effective Gait Primitives”. Inernational Journal of Robotics Research (IJRR).

Sintov, A., A. Morgan, A Kimmel, A. Dollar, KE Bekris, and A. Boularias. 2019. “Learning A State Transition Model Of An Underactuated Adaptive Hand”. IEEE Robotics and Automation Letters (RA-L) (also appearing at IEEE ICRA 2019).

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) (also appearing at IEEE ICRA 2019). https://www.cs.rutgers.edu/~kb572/pubs/prob_completeness_rrt.pdf.

Shome, R., W. N Tang, C. Song, C. Mitash, C. Kourtev, J. Yu, A. Boularias, and KE Bekris. 2019. “Towards Robust Product Packing With A Minimalistic End-Effector”. In IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada. http://robotpacking.org/.

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

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

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. http://www.cs.rutgers.edu/~kb572/pubs/Fast_High_Quality_Dual_Arm_Rearrangement.pdf.

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

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. http://www.cs.rutgers.edu/~kb572/pubs/within_hand_planning_over_learning.pdf.

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.