2D'Souza A,Vijayakumar S,Schaal S.Learning inverse kinematics[C] //IEEE/RSJ International Conference on Intelligent Robots and Systems.Piscataway,NJ,USA:IEEE,2001:298-303. 被引量：1
3Cheong J,Chung W K,Youm Y.Inverse kinematics of multilink flexible robots for high-speed applications[J].IEEE Transactions on Robotics and Automation,2004,20(2):269-282. 被引量：1
4Zannatha J M I,Limon R C.Forward and inverse kinematics for a small-sized humanoid robot[C] //International Conference on Electrical,Communications,and Computers.Piscataway,N J,USA:IEEE,2009:111-118. 被引量：1
5Buss S R,Kim J S.Selectively damped least squares for inverse kinematics[J].Journal of Graphics,GPU,& Game Tools,2005,10(3):37-49. 被引量：1
6Phuoc L M,Martinet P,Lee S,et al.Damped least square based genetic algorithm with Gaussian distribution of damping factor for singularity-robust inverse kinematics[J].Journal of Mechanical Science and Technology,2008,22(7):1330-1338. 被引量：1
7Reinhart R F,Steil J J.Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot[C] //ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems.Los Alamitos,CA,USA:IEEE Computer Society,2008:35-40. 被引量：1
8Pham D T,Casteilani M,Fahmy A A.Learning the in verse kinematics of a robot manipulator using the Bees algorithm[C] //IEEE International Conference on Industrial Informatics.Piscataway,NJ,USA:IEEE,2008:493-498. 被引量：1
9Assal S F M,Watanabe K,Izumi K.Neural network-based kinematic inversion of industrial redundant robots using cooperative fuzzy hint for the joint limits avoidance[J].IEEE/ASME Transactions on Mechatronics,2006,11(5):593-603. 被引量：1
10Khoukhi A,Baron L,Balazinski M,et al.A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redun-dant manipulators[J].Engineering Applications of Artificial In-telligencer 2008,21(7):974-984. 被引量：1
