It has been established that a suitably designed unpowered mechanical biped may \walk" down an inclined plane all by itself and eventually acquire a stable periodic gait. The characteristics of this periodic gait (e.g., velocity, time period) depend on the geometry of the biped and the slope of the plane. The energy to maintain the periodic motion comes from the conversion of the biped's gravit...

al. [3] in the case of a humanoid robot based on hybrid fuzzy control methods. This paper proposes a bipedal locomotion controller using an optimized Neuro-Fuzzy inference structure. In which, it is based on an adaptive neuro-fuzzy inference identifier (ANFII) for modeling the inverse dynamics of the biped robot. The proposed learning scheme is based on the zero moment point (ZMP); while the mo...

Biped robot locomotion is one of the active research areas in robotics. In this area, real-time stable walking with proper speed is one of the main challenges that needs to be overcome. Central Pattern Generators (CPG) as one of the biological gait generation models, can produce complex nonlinear oscillation as a pattern for walking. In this paper, we propose a model for a biped robot joint tra...

interpolation based trajectory planning method which is aiming to achieve smooth biped swing leg trajectory by reducing the instant velocity change which occurs at the time of collision of the biped swing leg with the ground. We first characterize the bipedal walking cycle and point out some major issues that need to be addressed to plan a continuous swing leg trajectory by using the concept of...

The subject of this paper is the design, control, and evaluation of a biped–climbing robot featuring a new hybrid hip joint. The hybrid hip provides both prismatic and revolute motion, discretely, to the robot, using a single actuator. This is intended to improve its adaptability in confined environments and its capability to maneuver over and around obstacles. Optimization of the hybrid hip jo...

Research on biped humanoid robots is currently one of the most exciting topics in the field of robotics and there are many ongoing projects. Because the walking of humanoid robot is complex dynamics inverse problem the pattern generation and dynamic simulation are extensive discussed. Many different models are proposed to simple the calculation. Many researches about the walking stability and p...

Parametric excitation walking is one of the bipedal gait generation methods on level ground. This method was first applied to a biped robot with telescopic legs and later to a kneed biped robot. An experimental robot with telescopic legs was also developed and it was verified that the robot could walk more than eight steps by the parametric excitation walking. Recently, we have developed an exp...

In this paper, stable bipedal locomotion has been achieved using coupled evolution of morphology and control on a 5link biped robot in a physics-based simulation environment. The robot was controlled by a closed loop recurrent neural network controller. The goal was to study the effect of macroscopic, midrange and microscopic changes in mass distribution along the biped skeleton to ascertain wh...

In this paper, two mode Q-learning, an extension of Q-learning, is used to stabilize the Zero Moment Point (ZMP) of a biped robot in the standing posture. In two mode Q-learning, the experiences of both success and failure of an agent are used for fast convergence. To demonstrate the effectiveness of two mode Q-learning against conventional Q-learning, the property of convergence is investigate...

The chapter presents an approach to control the biped humanoid robot to ambulate through human imitation. For this purpose a human body motion capturing system is developed using tri-axis accelerometers (attached to human legs and torso). The tilt angle patterns information from the human is transformed to control and teach various ambulatory skills for humanoid robot bipedalism. Lyapunov stabi...