Learning Robot Collisions

摘要: Recently, learning-based methods for collision detection have gained popularity as a means of sidestepping some of the implementation difficulties of pure model-based methods and compensating for uncertain dynamic effects, e.g., unmodeled or uncertain parameters in the robot dynamics model and measurement noise.