Xue et al., 2021 - Google Patents
Multi-agent path planning based on MPC and DDPGXue et al., 2021
View PDF- Document ID
- 6393942296933222684
- Author
- Xue J
- Kong X
- Dong B
- Xu M
- Publication year
- Publication venue
- arXiv preprint arXiv:2102.13283
External Links
Snippet
The problem of mixed static and dynamic obstacle avoidance is essential for path planning in highly dynamic environment. However, the paths formed by grid edges can be longer than the true shortest paths in the terrain since their headings are artificially constrained. Existing …
- 239000000969 carrier 0 abstract description 21
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0295—Fleet control by at least one leading vehicle of the fleet
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lee | Heterogeneous-ants-based path planner for global path planning of mobile robot applications | |
| Xia et al. | Cooperative task assignment and track planning for multi-UAV attack mobile targets | |
| CN109520507A (en) | A kind of unmanned plane real-time route planing method based on improvement RRT | |
| Yang et al. | LF-ACO: An effective formation path planning for multi-mobile robot | |
| Elmi et al. | Multi-objective grasshopper optimization algorithm for robot path planning in static environments | |
| Hsu et al. | Path planning for mobile robots based on improved ant colony optimization | |
| Xue et al. | Multi-agent path planning based on MPC and DDPG | |
| Han et al. | Hybrid Algorithm-Based Full Coverage Search Approach With Multiple AUVs to Unknown Environments in Internet of Underwater Things | |
| CN115202357A (en) | Autonomous mapping method based on impulse neural network | |
| CN115097814A (en) | Mobile robot path planning method, system and application based on improved PSO algorithm | |
| Li et al. | UAV-BS formation control method based on loose coupling structure | |
| Garip et al. | Path planning for multiple mobile robots in static environment using hybrid algorithm | |
| Xue et al. | Path planning algorithm in complex environment based on DDPG and MPC | |
| Ou et al. | Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots | |
| CN114721273B (en) | Multi-agent formation control method for fixed-time convergence zero-change neural network | |
| Junkai et al. | Hybrid particle swarm optimisation approach for 3D path planning of UAV | |
| Wu et al. | A rough set GA-based hybrid method for robot path planning | |
| Cheng et al. | Route planning of mixed ant colony algorithm based on Dubins path | |
| Yu et al. | A novel automated guided vehicle (AGV) remote path planning based on RLACA algorithm in 5G environment | |
| Kermani et al. | Flight path planning using GA and fuzzy logic considering communication constraints | |
| Zhou et al. | Improved path planning for mobile robot based on firefly algorithm | |
| Liu et al. | Research on Path Planning of Logistics Storage Robot Based on Fuzzy Improved Artificial Potential Field Method | |
| Yajima et al. | Practical formation control of swarm robots using mobile agents | |
| Ahmad et al. | Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation | |
| Arista et al. | Development of an efficient path planning algorithm for indoor navigation |