by Dizhi Ma | Apr 13, 2026 | 2026, Dizhi Ma, Karthik Ramani, Xiyun Hu
We present AgentCoach, an LLM-powered system that provides adaptive feedback for motor skill learning from tutorial videos. The system works by extracting key coaching points (CPs) and compiling CP-specific evaluators that map each cue to measurable kinematic...
by Dizhi Ma | Mar 21, 2026 | 2026, Dizhi Ma, Karthik Ramani
Humanoid table tennis (TT) demands rapid perception, proactive whole-body motion, and agile footwork under strict timing—capabilities that remain difficult for end-to-end control policies. We propose a reinforcement learning (RL) framework that maps ball-position...
by Dizhi Ma | Sep 16, 2024 | 2024, Dizhi Ma, Featured Publications, Jingyu Shi, Karthik Ramani, Karthik Ramani, Rahul Jain, Recent Publications, Xiyun Hu, Zhengzhe Zhu, Ziyi Liu
https://engineering.purdue.edu/cdesign/wp/wp-content/uploads/2024/09/UIST24_avaTTARCamReady.mp4 Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The...
