Motion planning for humanoid robot based on hybrid evolutionary algorithm

International Journal of Advanced Robotic Systems

Volumn 7, Issue 3, 2010, Pages 209-216

  Qiu Bo, Zhong ^a,b   Song Hao, Piao ^a   Chao, Gao ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b School of Information and Computer Engineering   (China)

Author keywords

Gait control; Humanoid robot; Neural network; Particle swarm optimization

Indexed keywords

ANTHROPOMORPHIC ROBOTS; MOTION PLANNING; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SWARM INTELLIGENCE; VISUAL SERVOING;

ENVIRONMENTAL INFORMATION; EVOLUTIONARY APPROACH; GAIT CONTROL; HUMANOID ROBOT; HYBRID EVOLUTIONARY ALGORITHM; JOINT TRAJECTORIES; MONOCULAR VISION; OFF-LINE TRAINING;

ROBOT PROGRAMMING;

EID: 77958552198     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: 10.5772/9703     Document Type: Article

References (16)

1. Vukobratovic M. Zero moment point, thirty five years of its lift. International Journal of Humanoid Robotics, 2004, (191):157-173.
2. Huang Q. Planning walking patterns for a biped robot, IEEE Trans. Robot. Autom. 2001, 17 (3).
3. Peiman N M, Ahmad B. Mathematical simulation of a seven link biped robot on various surfaces and ZMP considerations. Applied Mathematical Modelling, 2007, 31(1):18-37.
4. Joño P. Ferreira, Manuel Crisóstomo, A. Paulo Coimbra. ZMP trajectory reference for the sagittal plane control of a biped robot based on a human CoP and gait. The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems October 11-15, 2009 St. Louis, USA, pp:1588-1593
5. Tomomichi Sugihara, Standing Stabilizability and Stepping Maneuver in Planar Bipedalism based on the Best COM-ZMP Regulator. 2009 IEEE International Conference on Robotics and Automation, Kobe International Conference Center Kobe, Japan, May 12-17, 2009, pp: 1966-1971
6. Cupec R, Schmidt G, Lorch O. Vision-guided walking in a structured indoor scenario. AUTOMATIKA, 2005, 46(1):49-57.
7. Jimmy Or, A hybrid CPG-ZMP control system for stable walking of a simulated flexible spine humanoid robot. Neural Networks 23 (2010) 452-460
8. Reza Ghorbani, Qiong Wu, G. Gary Wang, Nearly optimal neural network stabilization of bipedal standing using genetic algorithm. Engineering Applications of Artificial Intelligence 20 (2007) 473-480
9. Ching-Long Shih, Ascending and Descending Stairs for a Biped Robot. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART A: SYSTEMS AND HUMANS, VOL. 29, NO. 3, MAY 1999.pp:255-268
10. Yao X, Liu Y. A new evolutionary system for evolving artificial neural networks. IEEE Trans. on Neural Networks, 1997, 8(3):694-713.
11. Leung H F, Lam H K, Ling S H, et al. Tuning of the structure and parameters of a neural network using an improved genetic algorithm. IEEE Trans. on Neural Networks, 2003, 14(3):79-88.
12. Kenned Y J, Eberhart R C. Particle swarm optimization. Proc. of the 1995 IEEE International Conference on Neutral Networks. Piscataway, NJ: IEEE Press, 1995:1942-1948.
13. Chau K W, Application of a PSO-based neural network in analysis of outcomes of construction claims. Automation in Construction, 2007(16):642-646.
14. Guan Yisheng, Yokoi K, Tanie K. Feasibility: Can humanoid robots overcome given obstacles? Proc. of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, April 2005:1054-1059.
15. Honjo T, Luo Zhi-Wei, Nagano A. Parametric excitation of a Biped Robot as an Inverted Pendulum. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems Acropolis Convention Center Nice, France, Sept, 22-26, 2008:3408-3413.
16. Ren Honge, Zhong qiubo, Kang junfeng. Object recognition algorithm research based on variable illumination. Proc. of the 2009 IEEE International Conference on Automation and Logistics, Shenyang, China, August 5-7, 2009:1609-1613.