Abstract
Trajectory planning of humanoid robots not only is required to satisfy kinematic constraints, but also other criteria such as staying balance, having desirable upper and lower postures, having smooth movement etc, is needed to maintain certain properties. In this paper, calculation formulas of driving torque for each joint of humanoid robot are derived based on dynamics equation, mathematic models for gait parameters optimization are established via introducing energy consumption indexes. gait parameters are optimized utilizing genetic algorithm. A new approach for real-time trajectory planning of humanoid robots is proposed based on fuzzy neural network (FNN), Zero Moment Point (ZMP) criteria, B-spline interpolation and inverse displacement analysis model. The minimum energy consumption gait, which similar with human motion, are used to train FNN, b-spline curves are utilized to fit dispersive Center of Gravity (COG) position and body posture datas, based on above models and inverse displacement model, trajectory of COG and desired body posture can be mapped into trajectory of joint space conveniently. Simulation results demonstrate feasibility and effectiveness of above real-time trajectory planning method. Numeric examples are given for illustration.
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Vukobratovic, M., Borovac, B., Surla, D., Stokic, D.: Biped Locomotion, Dynamics, Stability, Control and Application. Springer, Berlin (1990)
Capi, G., Nasu, Y.: Application of Genetic Algorithms for Biped Robot Gait Synthesis Optimization During Walking and Going Up-stairs. Advanced Robotics Journal 15, 675–695 (2001)
Capi, G., Nasu, Y.: Real Time Gait Generation for Autonomous Humanoid Robots:A Case Study for Walking. Robotics and Autonomous Systems 42, 107–116 (2003)
Capi, G., Yokota, M.: A New Humanoid Robot Gait Generation based on Multiobjective Optimization. In: Proceedings of IEEE/ASME Int. Conf. On Advanced Intelligent Mechatronics, Monterey, California, USA, pp. 450–454 (2005)
Harada, K., Kajita, S.: Real-Time Planning of Humanoid Robot’s Gait for Force Controlled Manipulation. In: IEEE Int. Conf. On Robotics and Automation. New Orleans, LA, pp. 616–622 (2004)
Silva, F., Machado, J.: Energy Analysis During Biped Walking. In: Proc. IEEE Int. Conf. On Robotics and Automation, Detroit, Michigan, pp. 59–64 (1999)
Channon, P.H., Pham, D.T.: A Variational Approach to the Optimization of Gait for a Bipedal Robot. Journal of Mechanical Engineering Science 210, 177–186 (1996)
Roussel, L., Canudas, C.: Generation of Energy Optimal Complete Gait Cycles for Biped Robots. In: Proc. IEEE Int. Conf. on Robotics and Automation, Leuven, Belgium, pp. 2036–2041. IEEE Computer Society Press, Los Alamitos (1998)
Nishiwaki, K., Kagami, S.: Online Generation of Humanoid Walking Motion based on a Fast Generation Method of Motion Pattern that Follows Desired ZMP. In: Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Zurich, pp. 2684–2689 (2002)
Yang, D.C., Liu, L.: Kinematic Analysis of Humanoid Robot. Chinese J. of Mechanical Engineering 39, 70–74 (2003)
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© 2007 Springer-Verlag Berlin Heidelberg
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Fan, S., Sun, M. (2007). Gait Parameters Optimization and Real-Time Trajectory Planning for Humanoid Robots. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_5
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DOI: https://doi.org/10.1007/978-3-540-74205-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
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