24 citations · 42 across the 5 of their papers we have counts for
5 papers
Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater
Ning Guo, Xudong Han, Xiaobo Liu +6
Robots play a critical role as the physical agent of human operators in exploring the ocean. However, it remains challenging to grasp objects reliably while fully submerging under…
Proprioceptive Learning with Soft Polyhedral Networks
Xiaobo Liu, Xudong Han, Wei Hong +2
Proprioception is the "sixth sense" that detects limb postures with motor neurons. It requires a natural integration between the musculoskeletal systems and sensory receptors, whic…
Jigsaw-based Benchmarking for Learning Robotic Manipulation
Xiaobo Liu, Fang Wan, Sheng Ge +3
Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we p…
DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation
Fang Wan, Haokun Wang, Xiaobo Liu +2
We present DeepClaw as a reconfigurable benchmark of robotic hardware and task hierarchy for robot learning. The DeepClaw benchmark aims at a mechatronics perspective of the robot…
Rigid-Soft Interactive Learning for Robust Grasping
Linhan Yang, Fang Wan, Haokun Wang +4
Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify…