activity
20182023
most citedFingerVision Tactile Sensor Design and Slip Detection Using Convolutional LSTM Network

74 citations · 105 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023

Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking

Jubo Yu, Tianxiang Ren, Shihui Guo +6

In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specific…

cs.CV2023★ 2 cited

Diverse Motion In-betweening with Dual Posture Stitching

Tianxiang Ren, Jubo Yu, Shihui Guo +5

In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often 10) frames as input, wh…

cs.RO2021★ 5 cited

Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor

Chohei Pang, Kinwing Mak, Yazhan Zhang +3

Monitoring the state of contact is essential for robotic devices, especially grippers that implement gecko-inspired adhesives where intimate contact is crucial for a firm attachmen…

cs.CV2021★ 3 cited

Stereo Matching by Self-supervision of Multiscopic Vision

Weihao Yuan, Yazhan Zhang, Bingkun Wu +4

Self-supervised learning for depth estimation possesses several advantages over supervised learning. The benefits of no need for ground-truth depth, online fine-tuning, and better…

cs.RO2021★ 2 cited

A Tactile Sensing Foot for Single Robot Leg Stabilization

Guanlan Zhang, Yipai Du, Yazhan Zhan +1

Tactile sensing on human feet is crucial for motion control, however, has not been explored in robotic counterparts. This work is dedicated to endowing tactile sensing to legged ro…

cs.RO2020

Origami-based Shape Morphing Fingertip to Enhance Grasping Stability and Dexterity

Zicheng Kan, Yazhan Zhang, Chohei Pang +1

Adaptation to various scene configurations and object properties, stability and dexterity in robotic grasping manipulation is far from explored. This work presents an origami-based…

cs.RO2019★ 17 cited

Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors

Yazhan Zhang, Weihao Yuan, Zicheng Kan +1

In essence, successful grasp boils down to correct responses to multiple contact events between fingertips and objects. In most scenarios, tactile sensing is adequate to distinguis…

cs.RO2019★ 2 cited

Effective Estimation of Contact Force and Torque for Vision-based Tactile Sensor with Helmholtz-Hodge Decomposition

Yazhan Zhang, Zicheng Kan, Yang Yang +2

Retrieving rich contact information from robotic tactile sensing has been a challenging, yet significant task for the effective perception of object properties that the robot inter…

cs.RO2018★ 74 cited

FingerVision Tactile Sensor Design and Slip Detection Using Convolutional LSTM Network

Yazhan Zhang, Zicheng Kan, Yu Alexander Tse +2

Tactile sensing is essential to the human perception system, so as to robot. In this paper, we develop a novel optical-based tactile sensor "FingerVision" with effective signal pro…