2024

C. Tang*, B. Abbatematteo*, J. Hu*, R. Chandra, R. Martín-Martín, and P. Stone. Deep reinforcement learning for robotics: A survey of real-world successes. To appear in Annual Review of Control, Robotics, and Autonomous Systems, 8, 2025. [Paper]

S. Dass, J. Hu, B. Abbatematteo, P. Stone, and R. Martín-Martín. Learning to Look: Seeking Information for Decision Making via Policy Factorization. In Proceedings of the 8th Annual Conference on Robot Learning, 2024. [Paper][Website]

C.-C. Hsu, B. Abbatematteo, Z. Jiang, Y. Zhu, R. Martín-Martín, and J. Biswas. KinScene: Model-Based Mobile Manipulation of Articulated Scenes. In ICRA Workshops: Mobile Manipulation and Embodied Intelligence; A Future Roadmap for Sensorimotor Skill Learning, 2024. [Paper][Website]

A. Bahety, P. Mandikal, B. Abbatematteo, and R. Martín-Martín. ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection. In Robotics: Science and Systems (RSS), 2024. [Paper][Website]

S. Dass, W. Ai, Y. Jiang, S. Singh, J. Hu, R. Zhang, P. Stone, B. Abbatematteo, and R. Martín-Martín. TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. In 2024 ICRA Workshop on Mobile Manipulation and Embodied Intelligence, 2024. [Paper][Website]

B. Abbatematteo*, E. Rosen*, S. Thompson, M.T. Akbulut, S. Rammohan, and G.D. Konidaris. Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. In Proceedings of the 2024 IEEE Conference on Robotics and Automation (ICRA), May 2024. [Paper][Video]

2023

A. Bagaria*, B. Abbatematteo*, O. Gottesman, S. Rammohan and G. Konidaris. Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. In Proceedings Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [Paper]

R. Ma, L. Lam, B.A. Spiegel, A. Ganeshan, R. Patel, B. Abbatematteo, D.P. Paulius, S. Tellex, and G.D. Konidaris. Skill Generalization With Verbs. In Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2023. [Paper]

B. Abbatematteo, C. Robbins, K. Sherry, J. Mokkamakkul, E. Rosen, S. Thompson, M. Stein, and G.D. Konidaris. Sensorized Manipulation Challenge Kit for Benchmarking Robotic Manipulation. In RSS 2023 Workshop on Experiment-oriented Locomotion and Manipulation Research, July 2023. [Paper]

2022

E. Rosen*, B. Abbatematteo*, S. Thompson, M.T. Akbulut, G. Konidaris. On the Role of Structure in Manipulation Skill Learning. In 2022 CoRL Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning. [Paper]

H. Abdul-Rashid, M. Freeman, B. Abbatematteo, G. Konidaris, D. Ritchie. Learning to Infer Kinematic Hierarchies for Novel Object Instances. In Proceedings of the 2022 IEEE International Conference on Robotics and Automation (ICRA), May 2022. [Paper]

S.Shaw, B. Abbatematteo, G. Konidaris. RMPs for Safe Impedance Control in Contact-Rich Manipulation. In Proceedings of the 2022 IEEE International Conference on Robotics and Automation (ICRA), May 2022. [Paper]

2021

B. Abbatematteo*, E. Rosen*, S. Tellex, G. Konidaris. Bootstrapping Motor Skill Learning with Motion Planning. In Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021.[Paper]

2019

B. Abbatematteo, S. Tellex, G. Konidaris. Learning to Generalize Kinematic Models to Novel Objects.
In Proceedings of the 3rd Annual Conference on Robot Learning (CoRL), November 2019.
[Paper][Video][Blog Post]

2018

S. Newlands, B. Abbatematteo, M. Wei, L. Carney, H. Luan. Convergence of Linear Acceleration and Yaw Rotation Signals on Non-eye Movement Neurons in the Vestibular Nucleus of Macaques. Journal of Neurophysiology 119.1, pages 73-83, January 2018.
[Paper]

* indicates equal contribution.