Combining pose control and angular velocity control for motion balance of humanoid robot soccer EROS

This paper proposes a research about the humanoid robot system stability to the basic movements in playing football (walking, running, and kicking a ball). The system controls the stability of the robot body angle in order to remain in an ideal position, using the hand as a function of the feedback that has been controlled the actuator separately with leg function on the robot. The hand has a function as robot body tilt actuator controller and the foot has a function as gait motion control system that controls the robot to walk. This system has deficiency to disorders the high impulse, resulting in added angular velocity control system functions, which can reduce the foot force moment generated when stopping suddenly and unexpectedly ran. System control used PID control while in motion pattern and kinematic control system using Fuzzy algorithm. We applied the combination between the control and speed control angle pose at EROS (EEPIS Robosoccer).

[1]  Gordon Wyeth,et al.  Fuzzy associative memory for humanoid robot joint control , 2005 .

[2]  Manuela M. Veloso,et al.  Online ZMP sampling search for biped walking planning , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Kazuhito Yokoi,et al.  The 3D linear inverted pendulum mode: a simple modeling for a biped walking pattern generation , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[4]  Kazuhito Yokoi,et al.  Biped walking pattern generation by using preview control of zero-moment point , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[5]  Tomomichi Sugihara,et al.  Simulated regulator to synthesize ZMP manipulation and foot location for autonomous control of biped robots , 2008, 2008 IEEE International Conference on Robotics and Automation.

[6]  Jung-Shik Kong,et al.  Study on the Real-Time Walking Control of a Humanoid Robot Using Fuzzy Algorithm , 2008 .

[7]  Joao P. Ferreira,et al.  Neuro-fuzzy ZMP control of a biped robot , 2006 .

[8]  Naoyuki Kubota,et al.  Fuzzy walking and turning tap movement for humanoid soccer robot EFuRIO , 2010, International Conference on Fuzzy Systems.

[9]  John Anderson,et al.  Active Balancing Using Gyroscopes for a Small Humanoid Robot , 2004 .

[10]  Hirochika Inoue,et al.  Real-time humanoid motion generation through ZMP manipulation based on inverted pendulum control , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[11]  Djitt Laowattana,et al.  Neuro-Fuzzy Algorithm for a Biped Robotic System , 2008 .

[12]  Miomir Vukobratovic,et al.  Zero-Moment Point - Thirty Five Years of its Life , 2004, Int. J. Humanoid Robotics.

[13]  Ching-Chang Wong,et al.  Fuzzy Control of Humanoid Robot for Obstacle Avoidance , 2008 .