DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation

2 code implementations • 6 May 2020 • Fang Wan, Haokun Wang, Xiaobo Liu, Linhan Yang, Chaoyang Song

We present benchmarking results of the DeepClaw system for a baseline Tic-Tac-Toe task, a bin-clearing task, and a jigsaw puzzle task using three sets of standard robotic hardware.

Robotics

Rigid-Soft Interactive Learning for Robust Grasping

2 code implementations • 29 Feb 2020 • Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song

We use soft, stuffed toys for training, instead of everyday objects, to reduce the integration complexity and computational burden and exploit such rigid-soft interaction by changing the gripper fingers to the soft ones when dealing with rigid, daily-life items such as the Yale-CMU-Berkeley (YCB) objects.

Small Data Image Classification

Reconfigurable Design for Omni-adaptive Grasp Learning

2 code implementations • 29 Feb 2020 • Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song

Such reconfigurable design with these omni-adaptive fingers enables us to systematically investigate the optimal arrangement of the fingers towards robust grasping.