Classification of sitting states for the humanoid robot SJTU-HR1

The classification of sitting issues is investigated since detailed state classification for humanoid robots plays a key role in the practical application of humanoid robots, particularly for the humanoid robots doing complicated tasks. This paper presents the concept, the characteristics tree, and the prototype of the humanoid robot SJTU-HR1. The basic states for humanoid robots are proposed, including lying, sitting, standing, and handstanding. Moreover, the sitting states are classified into several states from the viewpoint of topology. The GF (generalized function) set theory is applied to achieve the kinematic characteristics of the interested end-effectors of the humanoid robot SJTU-HR1. Finally, the results indicate that a large number of the sitting states can be represented by the meaningful notations systematically. Furthermore, the one-to-one correspondence between the state and kinematic characteristics of the interested end-effectors of the SJTU-HR1 leads to deeper insight into the capabilities of the humanoid robot SJTU-HR1.

[1]  Feng Gao,et al.  State Classification for Human Hands , 2008 .

[2]  Jun-Ho Oh,et al.  Experimental realization of dynamic walking for a human-riding biped robot, HUBO FX-1 , 2007, Adv. Robotics.

[3]  A. Kheddar,et al.  Motion planning for whole body tasks by humanoid robot , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[4]  Linda Geppert Robotics: QRIO , 2004 .

[5]  J. Cervantes-Sánchez,et al.  On the 5R spherical, symmetric manipulator: workspace and singularity characterization , 2004 .

[6]  Frank Chongwoo Park,et al.  Movement Primitives, Principal Component Analysis, and the Efficient Generation of Natural Motions , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[7]  Kouhei Ohnishi,et al.  Collision Avoidance Method of Humanoid Robot With Arm Force , 2004, IEEE Transactions on Industrial Electronics.

[8]  Feng Gao,et al.  Classification of lying states for the humanoid robot SJTU-HR1 , 2009 .

[9]  Yasuo Kuniyoshi,et al.  Stability and controllability in a rising motion: a global dynamics approach , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Satoshi Kagami,et al.  Planning and Executing Navigation Among Movable Obstacles , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Shuuji Kajita,et al.  The Human-size Humanoid Robot That Can Walk, Lie Down and Get Up , 2005, Int. J. Robotics Res..

[12]  L. Geppert Yoshihiro Kuroki: dancing with robots , 2004, IEEE Spectrum.

[13]  Kazuhito Yokoi,et al.  Generating whole body motions for a biped humanoid robot from captured human dances , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[14]  Feng Gao,et al.  State classification for humanoid robots , 2008 .

[15]  Jun-Ho Oh,et al.  Walking Control Algorithm of Biped Humanoid Robot on Uneven and Inclined Floor , 2007, J. Intell. Robotic Syst..

[16]  Hui Zhao,et al.  New kinematic structures for 2-, 3-, 4-, and 5-DOF parallel manipulator designs , 2002 .

[17]  Feng Gao,et al.  Classification of Standing States for the Humanoid Robot SJTU-HR1 , 2009, Int. J. Soc. Robotics.

[18]  Miomir Vukobratovic,et al.  A Generalized Approach to Modeling Dynamics of Human and Humanoid Motion , 2005, Int. J. Humanoid Robotics.

[19]  Kikuo Fujimura,et al.  The intelligent ASIMO: system overview and integration , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Masayuki Inaba,et al.  Motion planning for humanoid robots under obstacle and dynamic balance constraints , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[21]  Feng Gao,et al.  Type synthesis of 3-DOF reducible translational mechanisms , 2005, Robotica.

[22]  Atsuo Takanishi,et al.  Realization of dynamic human-carrying walking by a biped locomotor , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[23]  Clément Gosselin,et al.  On the development of the Agile Eye , 1996, IEEE Robotics Autom. Mag..