Anish Shankar
Google (United States)(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Human Pose and Action Recognition, Software Engineering Research, Software Engineering Techniques and Practices
Most-Cited Works
- → Robotic Table Tennis: A Case Study into a High Speed Learning System(2023)17 cited
- → Learning High Speed Precision Table Tennis on a Physical Robot(2022)16 cited
- → i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops(2022)12 cited
- → Achieving Human Level Competitive Robot Table Tennis(2025)3 cited
- → Agile Catching with Whole-Body MPC and Blackbox Policy Learning(2023)2 cited
- → GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot(2022)2 cited
- → Incremental aspect weaving(2015)