3 accepted papers
Existing robotic trajectory planning frameworks typically approximate the robot’s geometry and environmental constraints. While this improves computational efficiency, it sacrifices the solution space and frequently encounters failure in confined environments. However, attaining a precise geometric
Autonomous navigation of car-like robots on uneven terrain poses unique challenges compared to flat terrain, particularly in traversability assessment and terrain-associated kinematic modelling for motion planning. This paper introduces SEB-Naver, a novel SE(2)-based local navigation framework desig