Litcius/Paper detail

Guiding Vector Fields for Following Occluded Paths

Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao

2022IEEE Transactions on Automatic Control26 citationsDOIOpen Access PDF

Abstract

Accurately following a geometric desired path in a two-dimensional (2-D) space is a fundamental task for many engineering systems, in particular mobile robots. When the desired path is occluded by obstacles, it is necessary and crucial to temporarily deviate from the path for obstacle/collision avoidance. In this article, we develop a composite guiding vector field via the use of smooth bump functions and provide theoretical guarantees that the integral curves of the vector field can follow an arbitrary sufficiently smooth desired path and avoid collision with obstacles of arbitrary shapes. These two behaviors are <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">reactive</i> since path (re)planning and global map construction are not involved. To deal with the common deadlock problem, we introduce a switching vector field, and the Zeno behavior is excluded. Simulations are conducted to support the theoretical results.

Topics & Concepts

Path (computing)Vector fieldObstacleMotion planningObstacle avoidanceComputer scienceField (mathematics)Collision avoidanceDeadlockTrajectoryMobile robotVector spaceTopology (electrical circuits)AlgorithmCollisionRobotMathematicsArtificial intelligenceDistributed computingPure mathematicsGeometryPhysicsComputer securityProgramming languagePolitical scienceLawAstronomyCombinatoricsRobotic Path Planning AlgorithmsControl and Dynamics of Mobile RobotsComputational Geometry and Mesh Generation
Guiding Vector Fields for Following Occluded Paths | Litcius