by Xiyun Hu | Apr 13, 2026 | 2026, Chenfei Zhu, Dizhi Ma, Karthik Ramani, Rahul Jain, Shao-Kang Hsia, Xiyun Hu
Augmented Reality (AR) tutorials enhance procedural task learning by providing situated, step-by-step guidance. Yet, creating such tutorials requires AR authoring expertise, posing a significant entry barrier. To lower this barrier, we introduce ARify, an authoring...
by Runlin Duan | Apr 13, 2026 | 2026, Chenfei Zhu, Dizhi Ma, Karthik Ramani, Runlin Duan, Xiyun Hu, Yuzhao Chen, Ziyi Liu
Parametric modeling is a prevailing 3D modeling approach in design, architecture, and engineering. The emergence of multimodal large language models (LLMs) brings a new opportunity to lower the entry barriers to this powerful tool. However, describing 3D geometries...
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 Xiyun Hu | May 14, 2025 | 2025, Dizhi Ma, Fengming He, Karthik Ramani, Karthik Ramani, Recent Publications, Shao-Kang Hsia, Xiyun Hu, Zhengzhe Zhu, Ziyi Liu
Large Language Model (LLM)-based copilots have shown great potential in Extended Reality (XR) applications. However, the user faces challenges when describing the 3D environments to the copilots due to the complexity of conveying spatial-temporal information through...
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...
