Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the tasks which requires the synchronization of several joints, while monitoring stability. Further, it is also expected to deal with the great heterogeneity of existing platforms. The generation of adaptable locomotion further increases the complexity of the task. In this paper, Genetic Programming ...

As a biped robot has become more anthropomorphic and performs a various task on behalf of human, the research on biped robots gradually attracts much attention and is progressing dynamically. However, biped robots are difficult to control due to their nonlinear and coupled dynamics. First, Inverted pendulum [1] is applied to interpret some characteristics of human walking. Later, researchers co...

This article deals with specific aspects concerning the visual perception process of a humanoid walking machine. An active vision system provides the information about the environment necessary for autonomous goal-oriented locomotion. Due to errors in each stage of the perception process, ideal environment reconstruction is not possible. By modeling these errors, stochastic components can be co...

Humanoid robots are used as a research tool to understand bipedal locomotion. When pushed, a humanoid robot must be able to avoid falling and return to a balanced configuration. This is called push recovery and can be achieved using proper foot placement. Depending on the freedom of movement, one or multiple steps are taken to accomplish this goal. It is expected that foot placement can also be...

Biped locomotion has proven to be a very hard problem to solve. At current date, there exists no humanoid robot that can move as dynamic and robust as humans do. Even though there has been much research and certainly some interesting progress in biped locomotion, there is certainly no single solution that provides robots with the same capabilities as humans. What seems to be especially lacking ...

Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, computer science and mechanics. For a humanoid robot to perform in complex environments, fast, stable and adaptable behaviors are required. Developing robust behaviors requires the development of methods for joint traject...

Bipedal locomotion is a significantly complex yet surprisingly efficient means of movement. Long thought to require a high degree of feedback control, modern research has shown that periodic bipedal gaits are generated by central pattern generators (CPG) (Ijspeert, 2008). While feedback can and often does play a role in determining the parameters of the CPG when an animal moves, basic periodic ...

This paper addresses the problem of modelling and control of a biped robot by combining Cartesian-based position and force control algorithms. The complete walking cycle is divided in two phases: i) single support in which it is studied the trajectory controllability based on simple motion goals and ii) exchange of support in which the forward leg should absorb the impact and then gradually acc...

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...

The study on biped locomotion in humanoid robots has gained great interest since the last decades (Hirai et. al. 1998, Hirukawa et. al., 2004, Ishiguro, 2007). This interest are motivated from the high level of mobility, and the high number of degrees of freedom allow this kind of mobile robot adapt and move upon very unstructured sloped terrain. Eventually, it is more desirable to have robots ...