5 papers
DexEXO: A Wearability-First Dexterous Exoskeleton for Operator-Agnostic Demonstration and Learning
Alvin Zhu, Mingzhang Zhu, Beom Jun Kim +10
Scaling dexterous robot learning is constrained by the difficulty of collecting high-quality demonstrations across diverse operators. Existing wearable interfaces often trade comfo…
WHED: A Wearable Hand Exoskeleton for Natural, High-Quality Demonstration Collection
Mingzhang Zhu, Alvin Zhu, Jose Victor S. H. Ramos +9
Scalable learning of dexterous manipulation remains bottlenecked by the difficulty of collecting natural, high-fidelity human demonstrations of multi-finger hands due to occlusion,…
A Hierarchical, Model-Based System for High-Performance Humanoid Soccer
Quanyou Wang, Mingzhang Zhu, Ruochen Hou +16
The development of athletic humanoid robots has gained significant attention as advances in actuation, sensing, and control enable increasingly dynamic, real-world capabilities. Ro…
From Screen to Stage: Kid Cosmo, A Life-Like, Torque-Controlled Humanoid for Entertainment Robotics
Havel Liu, Mingzhang Zhu, Arturo Moises Flores Alvarez +8
Humanoid robots represent the cutting edge of robotics research, yet their potential in entertainment remains largely unexplored. Entertainment as a field prioritizes visuals and f…
Mechanical Intelligence-Aware Curriculum Reinforcement Learning for Humanoids with Parallel Actuation
Yusuke Tanaka, Alvin Zhu, Quanyou Wang +2
Reinforcement learning (RL) has enabled advances in humanoid robot locomotion, yet most learning frameworks do not account for mechanical intelligence embedded in parallel actuatio…