An Efficient Solution to Optimal Motion Planning With Provable Safety and Convergence
An innovative solution to the optimal motion planning problem is presented in this work. A novel parametrized actor structure is proposed, which guarantees safe and convergent navigation by construction. Concurrently, an efficient scheme for optimizing a mixed state and energy cost function is formu...
Main Authors: | PANAGIOTIS ROUSSEAS, Charalampos Bechlioulis, Kostas Kyriakopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Control Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10473133/ |
Similar Items
-
Reactive optimal motion planning for a class of holonomic planar agents using reinforcement learning with provable guarantees
by: Panagiotis Rousseas, et al.
Published: (2024-01-01) -
Energy-Efficient Robot Configuration and Motion Planning Using Genetic Algorithm and Particle Swarm Optimization
by: Kazuki Nonoyama, et al.
Published: (2022-03-01) -
Decentralized Navigation with Optimality for Multiple Holonomic Agents in Simply Connected Workspaces
by: Dimitrios Kotsinis, et al.
Published: (2024-05-01) -
Motion Planning for the Transfer Robot based on ADAMS Simulation Optimization
by: Li Chengxiang, et al.
Published: (2016-01-01) -
Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time‐Optimal‐Based Approach
by: Da‐hui Lin‐Yang, et al.
Published: (2025-01-01)