Computer vision for robotic manipulation
Title: Computer vision for robotic manipulation
SNIC Project: Berzelius-2022-226
Project Type: LiU Berzelius
Principal Investigator: Zehang Weng <zehang@kth.se>
Affiliation: Kungliga Tekniska högskolan
Duration: 2022-11-07 – 2023-06-01
Classification: 10207
Keywords:

Abstract

Robotic manipulation is one of the main frontiers in the current robotics research. Modern machine-learning approaches can provide powerful tools for learning to represent and interpret objects' states, dynamics, and planning appropriate robotic motions. In this project, we investigate the state-of-the-art data-driven approach for improving robotic manipulation performance.