6 papers
Touch2Robot: Robot Touch in the Human Demonstration Loop
Shengcheng Luo, Xiaoyang Cheng, Hong Ying +6
Human demonstrations offer a scalable way to collect manipulation data, but their contacts may be unstable or infeasible when transferred to a robot hand. Collecting demonstrations…
DexMani: Human-Derived Manipulability Guidance for Dexterous Rotation
Xiaoyang Chen, Shengcheng Luo, Haoran Guo +4
Dexterous object rotation is a sequential contact problem: each support, release, and re-contact decision must both produce the desired object motion, and prepare the hand configur…
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking
Haoyang Wang, Haoran Guo, Lingfeng Tao +1
Dexterous telemanipulation critically relies on the continuous and stable tracking of the human operator's commands to ensure robust operation. Vison-based tracking methods are wid…
Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection
Haoran Guo, Haoyang Wang, Zhengxiong Li +1
Tactile sensors can significantly enhance the perception of humanoid robotics systems by providing contact information that facilitates human-like interactions. However, existing c…
Bi-directional Momentum-based Haptic Feedback and Control System for In-Hand Dexterous Telemanipulation
Haoyang Wang, Haoran Guo, He Ba +2
In-hand dexterous telemanipulation requires not only precise remote motion control of the robot but also effective haptic feedback to the human operator to ensure stable and intuit…
Data-Driven Optimization of Tactile Sensor Configurations for Efficient Dexterous Manipulation
Haoran Guo, Haoyang Wang, Zhengxiong Li +2
Tactile sensing is critical for learning-based dexterous manipulation, yet principled guidelines for sensor placement remain largely absent. While dense sensor arrays provide rich…