Using haptics to probe human contact control strategies for six degree-of-freedom tasks. - Ellen Klingbeil; Samir Menon; Keegan Go; Oussama Khatib (HAPTICS, 2014)

Efficient Online Learning of Contact Force Models for Connector Insertion. - Kevin Tracy; Zachary Manchester; Ajinkya Jain; Keegan Go; Stefan Schaal; Tom Erez; Yuval Tassa (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. - Kaylee Burns; Ajinkya Jain; Keegan Go; Fei Xia 002; Michael Stark 003; Stefan Schaal; Karol Hausman (IROS, 2024)

RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning. - Matthew Lai; Keegan Go; Zhibin Li 001; Torsten Kröger; Stefan Schaal; Kelsey Allen; Jonathan Scholz (Sci. Robotics, 2025)