activity
20242026
most citedavaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

19 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

ReVeal: A Reconstruction-Aware Real-to-Sim Framework for VLA Policy Evaluation

Xinyi Wang, Heng Hao, Wenjun Hu +5

Simulation-based evaluation provides a scalable and repeatable alternative to real-world evaluation of vision-language-action (VLA) policies. However, reconstruction errors can cau…

cs.RO2025

PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis

Muqun Hu, Wenxi Chen, Wenjing Li +9

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…

cs.HC2025

SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI

Runlin Duan, Chenfei Zhu, Yuzhao Chen +4

Conceptual product design requires designers to explore the design space of visual and functional concepts simultaneously. Sketching has long been adopted to empower concept explor…

cs.HC2025★ 1 cited

GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality

Xiyun Hu, Dizhi Ma, Fengming He +5

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 t…

cs.HC2024★ 19 cited

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

Dizhi Ma, Xiyun Hu, Jingyu Shi +5

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 system prov…