Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer

Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer

Nov 04, 2020
|
30 views
|
|
Code
Details
Keypoint detection is an essential building block for many robotic applications like motion capture and pose estimation. However, deep neural network (DNN) detectors can have an uneven performance for different manually selected keypoints along the kinematic chain. Jingpei Lu, Florian Richter, Michael Yip from UCSD

Comments
loading...