In this paper, the problem of determining an optimal collision-free path is studied for a mobile robot moving in a dynamically changing environment. A polynomial parametrization is used to represent the family of mobile robot\u27s paths and to solve for feasible trajectories. Then a suitable performance index is set up and the trajectory generation problem is formulated as a constrained optimization problem subject to motion constraints and the collision avoidance criterion. The optimal solution is analytical and simple. It is good for realtime trajectory planning. Finally, the framework is applied to a car-like mobile robot. The validity of our approach is supported by computer simulations. © 2005 IEEE
This paper presents an approach to collision-free, long-range trajectory generation for a mobile rob...
Abstract—This paper presents a novel motion planning ap-proach inspired by the Dynamic Programming (...
The known algorithms for planning the trajectory of movement of mobile robots in an unknown environm...
In this paper, the problem of determining a collision-free trajectory for a car-like mobile robot mo...
In this paper, the problem of determining a collision-free trajectory for a car-like mobile robot mo...
In our recent work [5], by explicitly considering kinematic model of the robot, the family of feasib...
In this paper, we present two near-optimal methods to determine the real-time collision-free path fo...
In this paper, we present two near-optimal methods to determine the real-time collision-free path fo...
The problem of determining a collision-free path for a mobile robot moving in a dynamically changing...
The problem of determining a collision-free path for a mobile robot moving in a dynamically changing...
This paper describes the motion planning problems of mobile robots in uncertain dynamic environments...
Abstract—In this paper, we present a suboptimal and an-alytical solution to the trajectory generatio...
This paper aims to develop a control method by using artificial potential field with the addition of...
This paper provides a new approach to the dynamic motion planning problems of mobile robots in uncer...
Safe operation of autonomous systems demands a collision-free motion trajectory at every time instan...
This paper presents an approach to collision-free, long-range trajectory generation for a mobile rob...
Abstract—This paper presents a novel motion planning ap-proach inspired by the Dynamic Programming (...
The known algorithms for planning the trajectory of movement of mobile robots in an unknown environm...
In this paper, the problem of determining a collision-free trajectory for a car-like mobile robot mo...
In this paper, the problem of determining a collision-free trajectory for a car-like mobile robot mo...
In our recent work [5], by explicitly considering kinematic model of the robot, the family of feasib...
In this paper, we present two near-optimal methods to determine the real-time collision-free path fo...
In this paper, we present two near-optimal methods to determine the real-time collision-free path fo...
The problem of determining a collision-free path for a mobile robot moving in a dynamically changing...
The problem of determining a collision-free path for a mobile robot moving in a dynamically changing...
This paper describes the motion planning problems of mobile robots in uncertain dynamic environments...
Abstract—In this paper, we present a suboptimal and an-alytical solution to the trajectory generatio...
This paper aims to develop a control method by using artificial potential field with the addition of...
This paper provides a new approach to the dynamic motion planning problems of mobile robots in uncer...
Safe operation of autonomous systems demands a collision-free motion trajectory at every time instan...
This paper presents an approach to collision-free, long-range trajectory generation for a mobile rob...
Abstract—This paper presents a novel motion planning ap-proach inspired by the Dynamic Programming (...
The known algorithms for planning the trajectory of movement of mobile robots in an unknown environm...