Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Hoang-Giang Cao,Weihao Zeng,I-Chen Wu,Hoang-Giang Cao,Weihao Zeng,I-Chen Wu
It is crucial to address the following issues for ubiquitous robotics manipulation applications: (a) vision-based manipulation tasks require the robot to visually learn and understand the object with rich information like dense object descriptors; and (b) sim-to-real transfer in robotics aims to close the gap between simulated and real data. In this paper, we present Sim-to-Real Dense Object Nets ...
