3 papers
cs.RO2026
Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion
Jian Zhou, Xingyu Zhang, Rui Ma +3
Muscle-driven locomotion provides a physically grounded approach to generating realistic human movement. However, achieving both physiological plausibility and adaptability to chan…
cs.RO2026
TacPrint: A Wearable Fingertip Tactile Sensor for Human-to-Robot Contact Reproduction
Yongxi Liu, Chaofan Zhang, Xingyu Zhang +4
Human-centric data collection is emerging as a significant paradigm for robot skill acquisition, but seamlessly integrating low-cost, scalable tactile sensing systems that capture…
cs.RO2026
DexTac: Learning Contact-aware Visuotactile Policies via Hand-by-hand Teaching
Xingyu Zhang, Chaofan Zhang, Boyue Zhang +3
For contact-intensive tasks, the ability to generate policies that produce comprehensive tactile-aware motions is essential. However, existing data collection and skill learning sy…