Shortest paths in the plane with convex polygonal obstacles
Information Processing Letters
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Robot Motion Planning
Feasible Trajectories for Mobile Robots with Kinematic and Environment Constraints
Intelligent Autonomous Systems, An International Conference
A solution to the Path Planning problem using angle preprocessing
Robotics and Autonomous Systems
A new strategy in dynamic time-dependent motion planing for nonholonomic mobile robots
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Time parameterization of humanoid-robot paths
IEEE Transactions on Robotics
Trajectory planning of unicycle mobile robots with a trapezoidal-velocity constraint
IEEE Transactions on Robotics
Smooth path and speed planning for an automated public transport vehicle
Robotics and Autonomous Systems
A neuro-fuzzy controller for reactive navigation of a behaviour-based mobile robot
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Motion planning for tree climbing with inchworm-like robots
Journal of Field Robotics
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This paper presents a novel time-optimal motion planning strategy for a mobile robot with kinematic constraints. The method works in environments in presence of obstacles, without needing to generate the configuration space for the robot. Further, it derives a minimum time first derivative smooth path, as opposed to a minimum distance path which is commonly given by various present solution techniques. The problem is solved in three stages: (i) A reduced visibility graph for a point object is obtained. (ii) The reduced visibility graph is converted into a feasible reduced visibility graph accounting for the size and kinematic constraints of the robot. (iii) The A* algorithm is used to search the feasible reduced visibility graph with the cost function being the time of travel, to obtain a safe, time-optimal, smooth path. The algorithm runs in polynomial time. The method has been tested in computer simulations and test results are presented