Surovik, D., K. Wang, M. Vespignani, J. Bruce, and KE Bekris. 2019. “Adaptive Tensegrity Locomotion: Controlling A Compliant Icosahedron With Symmetry-Reduced Reinforcement Learning”. International Journal of Robotics Research (IJRR). https://www.cs.rutgers.edu/~kb572/pubs/reinf_learning_tensegrity_locomotion.pdf.

Shome, R., and KE Bekris. 2019. “Anytime Multi-Arm Task And Motion Planning For Pick-And-Place Of Individual Objects Via Handoffs”. In IEEE International Conference on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, NJ.

Kimmel, A, A. Sintov, J. Tan, B. Wen, A. Boularias, and KE Bekris. 2019. “Belief-Space Planning Using Learned Models With Application To Underactuated Hands”. In International Symposium on Robotics Research (ISRR), Hanoi, Vietnam.

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”. International Journal of Robotics Research (IJRR). https://www.cs.rutgers.edu/~kb572/pubs/kinodynamic_tensegrity.pdf.

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).

Mitash, C., A. Boularias, and KE Bekris. 2019. “Physics-Based Scene-Level Reasoning For Object Pose Estimation In Clutter”. International Journal of Robotics Research (IJRR). https://arxiv.org/pdf/1806.10457.pdf.

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.

Mitash, C., B. Wen, KE Bekris, and A. Boularias. 2019. “Scene-Level Pose Estimation For Multiple Instances Of Densely Packed Objects”. In Conference on Robot Learning (CoRL), Osaka, Japan.

Sivaramakrishnan, A., Z Littlefield, and KE Bekris. 2019. 7th ICAPS Workshop on Planning and Robotics (PlanRob) Towards Learning Efficient Maneuver Sets For Kinodynamic Motion Planning. https://www.cs.rutgers.edu/~kb572/pubs/Learning_Maneuver_Sets_PlanRob2019.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: Nomination for Best Paper Award in Automation. 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). https://www.cs.rutgers.edu/~kb572/pubs/optimal_tabletop_rearrangement.pdf.

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.