Computer vision for robotic manipulation
Title: |
Computer vision for robotic manipulation |
DNr: |
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: |
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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.