A new dynamics-driven control law was developed for a robot arm, based on the feedback control law which uses the linear transformation directly from work space to joint space. This was validated using a simulation of a two-joint planar robot arm and an optimisation algorithm was used to find the optimum matrix to generate straight trajectories of the end-effector in the work space. We found th...

Path planning is a crucial algorithmic approach for designing robot behaviors. Sampling-based approaches, like rapidly exploring random trees (RRTs) or probabilistic roadmaps, are prominent solutions path problems. Despite its exponential convergence rate, RRT can only find suboptimal paths. On the other hand, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://ww...

The problem of automatic collision-free path planning is central to mobile robot applications. An approach to automatic path planning based on a quadtree representation is presented. Hierarchical path-searching methods are introduced, which make use of this multireso-lution representation, to speed up the path planning process considerably. The applicability of this approach to mobile robot pat...

With the development of robotics and artificial intelligence field unceasingly thorough, path planning as an important field of robot calculation has been widespread concern. This paper analyzes the current development of robot and path planning algorithm and focuses on the advantages and disadvantages of the traditional intelligent path planning as well as the path planning. The problem of mob...

stability and performance are two main issues in motion of bipeds. to ensure stability of motion, a biped needs to follow specific pattern to comply with a stability criterion such as zero moment point. however, there are infinity many patterns of motion which ensure stability, so one might think of achieving better performance by choosing proper parameters of motion. step length and step perio...