Grace Vesom — accepted AI-conference papers

2025

Achieving Human Level Competitive Robot Table Tennis

David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley +21

ICRA 2025

Achieving human-level performance on real world tasks is a north star for the robotics community. We present the first learned robot agent that reaches amateur humanlevel performance in competitive table tennis. Table tennis is a physically demanding sport that takes humans years to master. We contr

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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, Nevena Lazic +28

RSS 2023poster

We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the ability to precisely return the ball to desired targets. This system puts together a highly optimized perception subsystem, a…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗