scholarly journals Vision-based Motion Control of a Biped Robot Using 2 DOF Gaze Control Structure

10.5772/4807 ◽  
2007 ◽  
Author(s):  
Shun Ushida ◽  
Koichiro Deguchi
Keyword(s):  
Motion Control ◽  
Control Structure ◽  
Biped Robot ◽  
Gaze Control

Quasi-human biped walking

Robotica ◽  
2005 ◽  
Vol 24 (2) ◽  
pp. 257-268 ◽  
Author(s):  
Hun-ok Lim ◽  
Sang-ho Hyon ◽  
Samuel A. Setiawan ◽  
Atsuo Takanishi
Keyword(s):  
Motion Control ◽  
Continuous Time ◽  
Degrees Of Freedom ◽  
Biped Robot ◽  
Humanoid Robots ◽  
Compensation Method ◽  
Biped Walking ◽  
Working Space ◽  
Physical Construction

Our goal is to develop biped humanoid robots capable of working stably in a human living and working space, with a focus on their physical construction and motion control. At the first stage, we have developed a human-like biped robot, WABIAN (WAseda BIped humANoid), which has a thirty-five mechanical degrees of freedom. Its height is 1.66 [m] and its weight 107.4 [kg]. In this paper, a moment compensation method is described for stability, which is based on the motion of its head, legs and arms. Also, a follow walking method is proposed which is based on a pattern switching technique. By a combination of both methods, the biped robot is able to perform dynamic stamping, walking forward and backward in a continuous time while someone is pushing or pulling its hand in such a way. Using WABIAN, human-fellow walking experiments are conducted, and the effectiveness of the methods are verified.

scholarly journals Universal Walking Control Framework of Biped Robot Based on Dynamic Model and Quadratic Programming

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xiaokun Leng ◽  
Songhao Piao ◽  
Lin Chang ◽  
Zhicheng He ◽  
Zheng Zhu
Keyword(s):  
Motion Control ◽  
Dynamic Characteristics ◽  
Control Method ◽  
Constraint Equation ◽  
Biped Robot ◽  
Equation System ◽  
Whole Body ◽  
Optimal Controller ◽  
Control Framework ◽  
The Stability

Biped robot research has always been a research focus in the field of robot research. Among them, the motion control system, as the core content of the biped robot research, directly determines the stability of the robot walking. Traditional biped robot control methods suffer from low model accuracy, poor dynamic characteristics of motion controllers, and poor motion robustness. In order to improve the walking robustness of the biped robot, this paper solves the problem from three aspects: planning method, mathematical model, and control method, forming a robot motion control framework based on the whole-body dynamics model and quadratic planning. The robot uses divergent component of motion for trajectory planning and introduces the friction cone contact model into the control frame to improve the accuracy of the model. A complete constraint equation system can ensure that the solution of the controller meets the dynamic characteristics of the biped robot. An optimal controller is designed based on the control framework, and starting from the Lyapunov function, the convergence of the optimal controller is proved. Finally, the experimental results show that the method is robust and has certain anti-interference ability.

Motion Analysis of Human Lifting Works with Heavy Objects

2005 ◽  
Vol 17 (6) ◽  
pp. 628-635 ◽  
Author(s):  
Nobutomo Matsunaga ◽  
◽  
Shigeyasu Kawaji
Keyword(s):  
Motion Control ◽  
Motion Analysis ◽  
Real World ◽  
Control Strategy ◽  
Robot Control ◽  
Autonomous Robots ◽  
Biped Robot ◽  
Weight Lifting ◽  
The Real ◽  
Lower Back

Advances in robot development involves autonomous work in the real world, where robots may lift or carry heavy objects. Motion control of autonomous robots is an important issue, in which configurations and motion differ depending on the robot and the object. Isaka et al. analyzed that lifting configuration is important in realizing efficient lifting minimizing the burden on the lower back, but their analysis was limited to weight lifting of a fixed object. Biped robot control requires analyzing different lifting in diverse situations. Thus, motion analysis is important in clarifying control strategy. We analyzed dynamics of human lifting of barbells in different situations, and found that lifting can be divided into four motions.

Impedance Control System for a Biped Skating Robot

2013 ◽  
Vol 475-476 ◽  
pp. 693-696
Author(s):  
Jin Liang Li ◽  
Ji Hua Bao ◽  
Yan Yu
Keyword(s):  
Control Problem ◽  
Motion Control ◽  
Pid Controller ◽  
Control Method ◽  
Impedance Control ◽  
Reaction Force ◽  
Biped Robot ◽  
Swing Phase ◽  
Load Impedance ◽  
Three Phase

This paper studied impedance control problem for a biped skating robot. Impedance control for ground reaction force which is realized through varying load impedance between supporting leg and ground to maintain flexible contact is vital to motion control problem. Biped skating motion is divided into three phase, i.e. leg swing phase, weight reception phase and supporting phase. During weigh reception and supporting phase, one the of the robot legs has pushed onto ground to generated reaction force which must be controlled for dynamic stability. During swing phase a PID controller is used. Impedance control is realized by varying the load impedance between supporting leg and ground to maintain flexible contact. By proposed impedance control method, a dynamic stable skating movement controller was successfully developed for the biped robot with skating speed of 0.13 m/s.

Neural Oscillator for Rhythmic Motion Control of Biped Robot

2008 ◽  
Author(s):  
Carlos A. Acosta Calderon ◽  
Mohan Rajesh Elara ◽  
Changjiu Zhou ◽  
Lingyun Hu ◽  
Bharathiselvan Iniya
Keyword(s):  
Motion Control ◽  
Biped Robot ◽  
Neural Oscillator
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