Imitation learning from demonstration videos
Imitation learning is a challenging and meaningful task to encode prior knowl- edge to provide a motion control policy for guiding robot movement and trajec- tory autonomously to complete specified assignment with a given current state. However, effective translation from prior knowledge to control...
Saved in:
Main Author: | Zeng, Jingbo |
---|---|
Other Authors: | Tan Yap Peng |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177091 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Behavior imitation for manipulator control and grasping with deep reinforcement learning
by: Liu, Qiyuan
Published: (2024) -
SPRINQL : Sub-optimal demonstrations driven offline imitation learning
by: HOANG, Minh Huy, et al.
Published: (2024) -
Laser-actuated multi-fingered hand for dexterous manipulation of micro-objects
by: Ta, Quang Minh, et al.
Published: (2023) -
Imitate the good and avoid the bad: An incremental approach to safe reinforcement learning
by: HOANG, Minh Huy, et al.
Published: (2024) -
Stacked graph bone region U-net with bone representation for hand pose estimation and semi-supervised training
by: Zheng, Zhiwei, et al.
Published: (2023)