The research of the PERCEPTION AND MANIPULATION group focuses on enhancing the perception, learning, and planning capabilities of robots to achieve higher degrees of autonomy and user-friendliness during everyday manipulation tasks, especially of deformable objects. Some topics addressed are the geometric interpretation of perceptual information (RGB-D vision, force and torque), the 3D modeling of rigid and flexible objects, action selection and planning, reinforcement learning, and teaching by demonstration.