activity
20212026
most citedEmbedding high-resolution touch across robotic hands enables adaptive human-like grasping

64 citations · 104 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2026

T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

Haoyang Luo, Zihang Zhao, Leiyao Cui +5

Human dexterity relies on rapid, sub-second motor adjustments, yet capturing these high-frequency dynamics remains an enduring challenge in biomechanics and robotics. Existing moti…

cs.RO2025

Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation

Yuyang Li, Yinghan Chen, Zihang Zhao +4

Robotic manipulation requires both rich multimodal perception and effective learning frameworks to handle complex real-world tasks. See-through-skin (STS) sensors, which combine ta…

cs.RO2025

Vi-TacMan: Articulated Object Manipulation via Vision and Touch

Leiyao Cui, Zihang Zhao, Sirui Xie +3

Autonomous manipulation of articulated objects remains a fundamental challenge for robots in human environments. Vision-based methods can infer hidden kinematics but can yield impr…

cs.RO2025★ 1 cited

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation

Zihang Zhao, Zhenghao Qi, Yuyang Li +4

Adept manipulation of articulated objects is essential for robots to operate successfully in human environments. Such manipulation requires both effectiveness--reliable operation d…

cs.RO2025

Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation

Yuyang Li, Wenxin Du, Chang Yu +6

Tactile sensing is crucial for achieving human-level robotic capabilities in manipulation tasks. As a promising solution, Vision-Based Tactile Sensors (VBTSs) offer high spatial re…

cs.RO2025★ 2 cited

B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators

Zihang Zhao, Leiyao Cui, Sirui Xie +4

B* is a novel optimization framework that addresses a critical challenge in fixed-base manipulator robotics: optimal base placement. Current methods rely on pre-computed kinematics…

cs.RO2024★ 64 cited

Embedding high-resolution touch across robotic hands enables adaptive human-like grasping

Zihang Zhao, Wanlin Li, Yuyang Li +9

Developing robotic hands that adapt to real-world dynamics remains a fundamental challenge in robotics and machine intelligence. Despite significant advances in replicating human h…

cs.RO2024★ 17 cited

MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery

Wanlin Li, Zihang Zhao, Leiyao Cui +4

Robot-assisted minimally invasive surgery (RAMIS) provides substantial benefits over traditional open and laparoscopic methods. However, a significant limitation of RAMIS is the su…

cs.RO2024★ 20 cited

Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects

Zihang Zhao, Yuyang Li, Wanlin Li +4

Integrating robots into human-centric environments such as homes, necessitates advanced manipulation skills as robotic devices will need to engage with articulated objects like doo…

cs.RO2023

Rearrange Indoor Scenes for Human-Robot Co-Activity

Weiqi Wang, Zihang Zhao, Ziyuan Jiao +3

We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better. The rearrangement aims to afford sufficient accessible…

cs.RO2021

A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing

Yayun Du, Bhrugu Mallajosyula, Deming Sun +5

Modern herbicide application in agricultural settings typically relies on either large scale sprayers that dispense herbicide over crops and weeds alike or portable sprayers that r…