This is a self-contained introduction to practical robot kinematics and dynamics, including a comprehensive treatment of robot control. It provides background material on terminology and linear transformations, followed by coverage of kinematics and inverse kinematics, dynamics, manipulator control, robust control, force control, use of feedback in nonlinear systems, and adaptive control. Each topic is supported by examples of specific applications. Derivations and proofs are included in many cases, and there are many worked examples, examples illustrating all aspects of the theory, and...
This is a self-contained introduction to practical robot kinematics and dynamics, including a comprehensive treatment of robot control. It provides ba...
How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.
How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It a...