1 citations · 1 across the 4 of their papers we have counts for
5 papers
CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
Huayue Liang, Ruochong Li, Yaodong Yang +3
High-quality teleoperated demonstrations are a primary bottleneck for imitation learning (IL) in dexterous manipulation. However, haptic feedback provides operators with real-time…
Data-Driven MPC with Data Selection for Flexible Cable-Driven Robotic Arms
Huayue Liang, Yanbo Chen, Hongyang Cheng +5
Flexible cable-driven robotic arms (FCRAs) offer dexterous and compliant motion. Still, the inherent properties of cables, such as resilience, hysteresis, and friction, often lead…
Diffusion Suction Grasping with Large-Scale Parcel Dataset
Ding-Tao Huang, Xinyi He, Debei Hua +3
While recent advances in object suction grasping have shown remarkable progress, significant challenges persist particularly in cluttered and complex parcel handling scenarios. Two…
SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios
Ding-Tao Huang, En-Te Lin, Lipeng Chen +2
Despite the success in 6D pose estimation in bin-picking scenarios, existing methods still struggle to produce accurate prediction results for symmetry objects and real world scena…
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios
En-Te Lin, Wei-Jie Lv, Ding-Tao Huang +1
Existing Object Pose Estimation (OPE) methods for stacked scenarios are not robust to changes in object scale. This paper proposes a new 6DoF OPE network (NormNet) for different sc…