3 papers
cs.RO2026
EaDex: A Cross-Embodiment Dexterous Manipulation Framework from Low-Cost Demonstrations
Qian Zhao, Xin Tong, Chengdong Wu +2
Dexterous manipulation learning has long been hindered by the high costs of data and training, as pure reinforcement learning typically requires large-scale interactive exploration…
cs.RO2025
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
Houjian Yu, Mingen Li, Alireza Rezazadeh +2
The language-guided robot grasping task requires a robot agent to integrate multimodal information from both visual and linguistic inputs to predict actions for target-driven grasp…
cs.RO2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation
Yang Yang, Houjian Yu, Xibai Lou +2
Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subject of extensive research. However, swiftly teaching a robot to grasp a novel target…