73 citations · 136 across the 27 of their papers we have counts for
25 papers · 1 filter
UniReflex: Plug-and-Play Force Control for Pretrained Generative Policies via Fast-Slow Reflex
Yan Huang, Shoujie Li, Ziwu Song +1
Generative imitation learning policies excel at trajectory planning but lack closed-loop force regulation, while directly incorporating force modalities often requires redesigning…
CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation
Yushan Liu, Peibo Sun, Xintao Chao +8
Vision-language-action (VLA) policies commonly execute long-horizon mobile manipulation through open-loop action chunks, issuing multiple actions without receiving new high-level v…
TaCauchy: An Extensible FEM Framework for Vision-Based Tactile Simulation
Hengfei Zhao, Yifan Xie, Junhao Gong +6
Vision-based tactile sensors require high-fidelity simulation for reinforcement learning, yet existing approaches struggle to provide accurate mechanical stress fields within GPU-a…
OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation
Yushan Liu, Peibo Sun, Shoujie Li +7
World Action Models (WAMs) enhance Vision-Language-Action policies by jointly predicting scene evolution and robot actions, but existing methods usually represent the predicted wor…
Time-Division Multiplexing Actuation in Tendon-Driven Arms: Lightweight Design and Fault Tolerance
Shoujie Li, Changqing Guo, Jianle Xu +4
Robotic manipulators for aerospace applications require a delicate balance between lightweight construction and fault-tolerant operation to satisfy strict weight limitations and en…
Master Micro Residual Correction with Adaptive Tactile Fusion and Force-Mixed Control for Contact-Rich Manipulation
Xingting Li, Yifan Xie, Han Liu +4
Robotic contact-rich and fine-grained manipulation remains a significant challenge due to complex interaction dynamics and the competing requirements of multi-timescale control. Wh…
SandWorm: Event-based Visuotactile Perception with Active Vibration for Screw-Actuated Robot in Granular Media
Shoujie Li, Changqing Guo, Junhao Gong +3
Perception in granular media remains challenging due to unpredictable particle dynamics. To address this challenge, we present SandWorm, a biomimetic screw-actuated robot augmented…
CEI: A Unified Interface for Cross-Embodiment Visuomotor Policy Learning in 3D Space
Tong Wu, Shoujie Li, Junhao Gong +4
Robotic foundation models trained on large-scale manipulation datasets have shown promise in learning generalist policies, but they often overfit to specific viewpoints, robot arms…
UMIGen: A Unified Framework for Egocentric Point Cloud Generation and Cross-Embodiment Robotic Imitation Learning
Yan Huang, Shoujie Li, Xingting Li +1
Data-driven robotic learning faces an obvious dilemma: robust policies demand large-scale, high-quality demonstration data, yet collecting such data remains a major challenge owing…
FlexiCup: Wireless Multimodal Suction Cup with Dual-Zone Vision-Tactile Sensing
Junhao Gong, Shoujie Li, Kit-Wa Sou +8
Conventional suction cups lack sensing capabilities for contact-aware manipulation in unstructured environments. This paper presents FlexiCup, a multimodal suction cup with wireles…
MoiréTac: A Dual-Mode Visuotactile Sensor for Multidimensional Perception Using Moiré Pattern Amplification
Kit-Wa Sou, Junhao Gong, Shoujie Li +4
Visuotactile sensors typically employ sparse marker arrays that limit spatial resolution and lack clear analytical force-to-image relationships. To solve this problem, we present \…
UltraTac: Integrated Ultrasound-Augmented Visuotactile Sensor for Enhanced Robotic Perception
Junhao Gong, Kit-Wa Sou, Shoujie Li +5
Visuotactile sensors provide high-resolution tactile information but are incapable of perceiving the material features of objects. We present UltraTac, an integrated sensor that co…
VTire: A Bimodal Visuotactile Tire with High-Resolution Sensing Capability
Shoujie Li, Jianle Xu, Tong Wu +5
Developing smart tires with high sensing capability is significant for improving the moving stability and environmental adaptability of wheeled robots and vehicles. However, due to…
VET: A Visual-Electronic Tactile System for Immersive Human-Machine Interaction
Cong Zhang, Yisheng Yang, Shilong Mu +4
In the pursuit of deeper immersion in human-machine interaction, achieving higher-dimensional tactile input and output on a single interface has become a key research focus. This s…
Exo-ViHa: A Cross-Platform Exoskeleton System with Visual and Haptic Feedback for Efficient Dexterous Skill Learning
Xintao Chao, Shilong Mu, Yushan Liu +4
Imitation learning has emerged as a powerful paradigm for robot skills learning. However, traditional data collection systems for dexterous manipulation face challenges, including…
AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization
Yushan Liu, Shilong Mu, Xintao Chao +7
Robotic manipulation in complex scenes demands precise perception of task-relevant details, yet fixed or suboptimal viewpoints often impair fine-grained perception and induce occlu…
MuxHand: A Cable-driven Dexterous Robotic Hand Using Time-division Multiplexing Motors
Jianle Xu, Shoujie Li, Hong Luo +4
The robotic dexterous hand is responsible for both grasping and dexterous manipulation. The number of motors directly influences both the dexterity and the cost of such systems. In…
Depth Restoration of Hand-Held Transparent Objects for Human-to-Robot Handover
Ran Yu, Haixin Yu, Shoujie Li +3
Transparent objects are common in daily life, while their optical properties pose challenges for RGB-D cameras to capture accurate depth information. This issue is further amplifie…
MoDex: Planning High-Dimensional Dexterous Control via Learning Neural Internal Models
Tong Wu, Shoujie Li, Chuqiao Lyu +3
Controlling hands in high-dimensional action space has been a longstanding challenge, yet humans naturally perform dexterous tasks with ease. In this paper, we draw inspiration fro…
When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective
Shoujie Li, Zihan Wang, Changsheng Wu +6
Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the mer…
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Shoujie Li, Yan Huang, Changqing Guo +4
The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines. However, the lack of a universal si…
Dual-modal Tactile E-skin: Enabling Bidirectional Human-Robot Interaction via Integrated Tactile Perception and Feedback
Shilong Mu, Runze Zhao, Zenan Lin +5
To foster an immersive and natural human-robot interaction, the implementation of tactile perception and feedback becomes imperative, effectively bridging the conventional sensory…
Growing from Exploration: A self-exploring framework for robots based on foundation models
Shoujie Li, Ran Yu, Tong Wu +3
Intelligent robot is the ultimate goal in the robotics field. Existing works leverage learning-based or optimization-based methods to accomplish human-defined tasks. However, the c…
Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling
Shoujie Li, Mingshan He, Wenbo Ding +5
Manual oropharyngeal (OP) swab sampling is an intensive and risky task. In this article, a novel OP swab sampling device of low cost and high compliance is designed by combining th…