International audienceThis paper proposes an improvement of a motion planning approach and a modified model predictive control (MPC) for solving the navigation problem of a team of dynamical wheeled mobile robots in the presence of obstacles in a realistic environment. Planning is performed by a distributed receding horizon algorithm where constrained optimization problems are numerically solved for each prediction time-horizon. This approach allows distributed motion planning for a multi-robot system with asynchronous communication while avoiding collisions and minimizing the travel time of each robot. However, the robots dynamics prevents the planned motion to be applied directly to the robots. Using unicycle-like vehicles in a dynamic si...
This paper investigates and discusses two different distributed formation control approaches based o...
A key requirement of autonomous vehicles is the capability to safely navigate in their environment. ...
This paper presents a decentralized motion planner for a formation of autonomous mobile robots evolv...
International audienceThis paper proposes an improvement of a motion planning approach and a modifie...
This paper proposes the real-time implementation of an algorithm for collision-free motion planning ...
This paper proposes the real-time implementation of an algorithm for collision-free motion planning ...
International audienceThis paper addresses the problem of motion planning for a multirobot system in...
International audienceIn this paper, we propose a distributed model predictive control strategy for ...
International audienceThis paper proposes the real-time implementation of an algorithm for collision...
Autonomous ground vehicles (AGVs) are playing an ever-increasing role in civilian, industrial and mi...
Navigation and guidance of autonomous vehicles is a fundamental problem in robotics, which has attra...
In this paper, we formulate and evaluate a centralized vs. a distributed approach for online traject...
Existing motion planning algorithms for multi-robot systems must be improved to address poor coordin...
International audienceThis paper deals with collision avoidance problems while following an optimal ...
International audienceThis paper presents a decentralized motion planner for a formation of autonomo...
This paper investigates and discusses two different distributed formation control approaches based o...
A key requirement of autonomous vehicles is the capability to safely navigate in their environment. ...
This paper presents a decentralized motion planner for a formation of autonomous mobile robots evolv...
International audienceThis paper proposes an improvement of a motion planning approach and a modifie...
This paper proposes the real-time implementation of an algorithm for collision-free motion planning ...
This paper proposes the real-time implementation of an algorithm for collision-free motion planning ...
International audienceThis paper addresses the problem of motion planning for a multirobot system in...
International audienceIn this paper, we propose a distributed model predictive control strategy for ...
International audienceThis paper proposes the real-time implementation of an algorithm for collision...
Autonomous ground vehicles (AGVs) are playing an ever-increasing role in civilian, industrial and mi...
Navigation and guidance of autonomous vehicles is a fundamental problem in robotics, which has attra...
In this paper, we formulate and evaluate a centralized vs. a distributed approach for online traject...
Existing motion planning algorithms for multi-robot systems must be improved to address poor coordin...
International audienceThis paper deals with collision avoidance problems while following an optimal ...
International audienceThis paper presents a decentralized motion planner for a formation of autonomo...
This paper investigates and discusses two different distributed formation control approaches based o...
A key requirement of autonomous vehicles is the capability to safely navigate in their environment. ...
This paper presents a decentralized motion planner for a formation of autonomous mobile robots evolv...