Receding-horizon motion planning of quadrupedal robot locomotion
<p>Quadrupedal robots are designed to offer efficient and robust mobility on uneven terrain. This thesis investigates combining numerical optimization and machine learning methods to achieve interpretable kinodynamic planning of natural and agile locomotion.</p> <p>The proposed al...
Main Author: | Melon, OA |
---|---|
Other Authors: | Fallon, M |
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: |
Similar Items
-
Automated Hyperparameter Tuning in Reinforcement Learning for Quadrupedal Robot Locomotion
by: MyeongSeop Kim, et al.
Published: (2023-12-01) -
MULTI-ROBOT MOTION PLANNING: A MODIFIED RECEDING HORIZON APPROACH FOR REACHING GOAL STATES
by: José M. Mendes Filho, et al.
Published: (2016-02-01) -
Soft Steps: Exploring Quadrupedal Locomotion With Modular Soft Robots
by: Dimuthu D. K. Arachchige, et al.
Published: (2023-01-01) -
A Fast and Close-to-Optimal Receding Horizon Control for Trajectory Generation in Dynamic Environments
by: Khoi Hoang-Dinh, et al.
Published: (2022-07-01) -
Versatile Locomotion Planning and Control for Humanoid Robots
by: Junhyeok Ahn, et al.
Published: (2021-08-01)