Non Convex Obstacle

Non-convex obstacle avoidance is a crucial challenge in robotics and autonomous systems, focusing on efficiently planning paths and controlling robots around irregularly shaped obstacles. Current research emphasizes developing novel algorithms, such as vector-based planners and model predictive control (MPC) approaches, often incorporating adaptive constraints and heuristic functions to improve search efficiency and real-time performance in complex environments. These advancements are significant for improving the capabilities of robots in cluttered spaces, impacting diverse applications from warehouse automation and surgical robotics to autonomous navigation in unstructured terrains.