Dynamic Grasp Adaptation

The human hand is an amazing tool demonstrated by its incredible motor capability and remarkable sense of touch. To enable robots to work in a human-centric environment it is desirable to endow robotic hands with human-like capabilities for grasping and object manipulation. However due to its inherent complexity and inevitable model uncertainty robotic grasping and manipulation remains a challenge. This book focuses on grasp adaptation in the face of model and sensing Given an object whose properties are not known with certainty (e.g. shape weight and external perturbation) and a multifingered robotic hand we aim at determining where to put the fingers and how the fingers should adaptively interact with the object using tactile sensing in order to achieve either a stable grasp or a desired dynamic behaviour.