Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

With the increasing complexity of humanoid mechanisms and their desired capabilities,
there is a pressing need for a generalized framework where a desired whole-body motion …

Sampling-based planners have solved difficult problems in many applications of motion
planning in recent years. In particular, techniques based on the Rapidly-exploring Random …

In this paper, we discuss the field of sampling-based motion planning. In contrast to methods
that construct boundary representations of configuration space obstacles, samplingbased …

Sampling based planners have become increasingly efficient in solving the problems of
classical motion planning and its applications. In particular, techniques based on the rapidly …

Purpose–The purpose of this paper is to present an algorithm for performing collision
avoidance with robotic manipulators. Design/methodology/approach–The method does not …

In this paper, we describe a planner for a humanoid robot that is capable of finding a path in
an environment with movable objects, whereas previous motion planner only deals with an …

This paper describes a new approach to realize gras** of an unknown object by a
dexterous hand robot among freely placed multiple unknown objects even if they are …

Although Rapidly-exploring Random Trees (RRTs) have been successfully applied in path
planning of robots with many degrees of freedom under non-holonomic and differential …

Reaching is a critical task for humanoid robots, requiring the application of state-of-the-art
algorithms for motion planning and inverse kinematics. Practical algorithms for solving these …