Intended for engineers, electrical engineers and control engineers, this book provides coverage of the latest advances in robotic systems, from the application of neural networks to robotics.
Applications of neural networks to robotics, S.Lee and G.A.Bekey; a
unified approach to kinematic modelling, identification and compensation for
robot calibration, H.Zhuang and Z.S.Roth; nonlinear control algorithms in
robotic systems, T.J.Tarn et al; kinematic and dynamic task space motion
planning for robot control, Z.Li et al; discrete kinematic modelling
techniques in Cartesian space for robotic systmes, W.Jacak; force
distribution algorithms for multi-fingered grippers, J.-H.Kim et al;
frequency analysis for a discrete-time robot system, Y.Chen; minimum cost
trajectory planning for industrial robots, K.G.Shin and N.D.McKay; tactile
sensing techniques in robotic systems, T.Tsujimura and T.Yabuta; sensor data
fusion in robotic systems, J.K.Aggarwal and Y.F.Wang.
