Incremental aspect weaving: an approach for faster AOP learning. - Y. Raghu Reddy; Anish Shankar; Madhavan Chetlur (SAC, 2015)

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. - Saminda Wishwajith Abeyruwan; Laura Graesser; David B. D'Ambrosio; Avi Singh; Anish Shankar; Alex Bewley; Deepali Jain; Krzysztof Marcin Choromanski; Pannag R. Sanketi (CoRL, 2022)

Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (IROS, 2022)

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (CoRR, 2022)

Agile Catching with Whole-Body MPC and Blackbox Policy Learning. - Saminda Abeyruwan; Alex Bewley; Nicholas Matthew Boffi; Krzysztof Marcin Choromanski; David B. D'Ambrosio; Deepali Jain; Pannag R. Sanketi; Anish Shankar; Vikas Sindhwani; Sumeet Singh; Jean-Jacques E. Slotine; Stephen Tu (L4DC, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)