Heuristic Approach for Real-Time Multi-Agent Trajectory Planning Under Uncertainty
Motion planning of agents is one of the fundamental research problems in autonomous systems. An important aspect of motion planning is collision avoidance of the agents with other agents and obstacles that are present in the agent’s environment. Typically, the collision avoidance constrai...
Saved in:
| Main Authors: | Haseeb Tahir, Mujahid N. Syed, Uthman Baroudi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8944081/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Snake-inspired trajectory planning and control for confined pipeline inspection with hyper-redundant manipulators
by: Junjie Zhu, et al.
Published: (2025-09-01) -
Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms
by: Kenneth Christopher Ugwoke, et al.
Published: (2025-04-01) -
A Unified Collision Avoidance Trajectory Planning with Dual Variables for Collaborative Aerial Transportation Systems
by: Yi Chai, et al.
Published: (2024-11-01) -
Anytime Optimal Trajectory Repairing for Autonomous Vehicles
by: Kailin Tong, et al.
Published: (2025-01-01) -
Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance
by: Weijie Wang, et al.
Published: (2025-06-01)