Path planning algorithm is a key issue among robot control areas. In practical engineering applications, traditional methods have some limitations to a certain degrees in key aspects of cost, efficiency, security, flexibility, portability, etc. Through the analysis and comparison of A-star algorithm and Dijkstra algorithm, path planning problem supporting multiple cars run parallely (PPSMC for short) in a static and dynamic obstacles co-existing environment is studied. An A-STAR-Dijkstra-integrated algorithm is promoted to make multiple cars moving parallely without collision or deadlock. Both two algorithms are optimized too. The algorithm has applied in smart park
Multi-robot path planning involves moving multiple robots from their unique starting positions to t...
This thesis deals with the design of a path planning algorithm for a multi-robot system in order to ...
Multi-robot path planning involves moving multiple robots from their unique starting positions to th...
Path planning is one of the significant aspects of mobile robots. Selection of an optimal or sub-opt...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
This master thesis deals with path planning for multiple mobile robots. The theoretical part describ...
AbstractThis article deals with path planning of a mobile robot based on a grid map. Essential assum...
This paper addresses the problem of planning paths for multiple mobile robots moving in the same env...
This paper addresses the problem of planning paths for multiple mobile robots moving in the same env...
peer reviewedMobile robots and multimobile robotic system usage for task achievement have been an em...
A novel multi-robot path planning approach is presented in this paper. Based on the standard Dijkstr...
Multi-robot path planning is abstracted as the problem of computing a set of non-colliding paths on ...
We present a new approach to the multi-robot path planning problem, where a number of robots are to ...
Multi-robot path planning involves moving multiple robots from their unique starting positions to t...
This thesis deals with the design of a path planning algorithm for a multi-robot system in order to ...
Multi-robot path planning involves moving multiple robots from their unique starting positions to th...
Path planning is one of the significant aspects of mobile robots. Selection of an optimal or sub-opt...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
Multi-robot systems of autonomous mobile robots offer many benefits but also many challenges. This w...
This master thesis deals with path planning for multiple mobile robots. The theoretical part describ...
AbstractThis article deals with path planning of a mobile robot based on a grid map. Essential assum...
This paper addresses the problem of planning paths for multiple mobile robots moving in the same env...
This paper addresses the problem of planning paths for multiple mobile robots moving in the same env...
peer reviewedMobile robots and multimobile robotic system usage for task achievement have been an em...
A novel multi-robot path planning approach is presented in this paper. Based on the standard Dijkstr...
Multi-robot path planning is abstracted as the problem of computing a set of non-colliding paths on ...
We present a new approach to the multi-robot path planning problem, where a number of robots are to ...
Multi-robot path planning involves moving multiple robots from their unique starting positions to t...
This thesis deals with the design of a path planning algorithm for a multi-robot system in order to ...
Multi-robot path planning involves moving multiple robots from their unique starting positions to th...