Abstract not found

of these techniques is a Monte Carlo technique that escapes local minima by executing Brownian motions. The overall approach is made possible by the systematic use of distributed representations (bitmaps) for the robot’s work space and configuration space. We have experimented with the planner using several computer

In this paper, we highlight our past experiences on fast penetration depth computation and its applications in different areas such as physically-based animation, 6DOF haptic rendering and robot motion planning.

Abstract. This paper demonstrates an application of algebraic geometry to the real problem of robotic motion planning. We model an abstract robot arm using a system of polynomial equations specifying constraints imposed by the arm’s various linkages, and demonstrate techniques for solving them

this paper we consider the completeness of several algorithms in robot motion planning. The two conditions for completeness, finding a solution if it exists, and terminating otherwise, suggest a distinction between algorithms that satisfy the former but not the latter: we refer to these as "

In this paper we discuss topological problems inspired by robotics. We study in detail the robot motion planning problem. With any path-connected topological space X we associate a numerical invariant TC(X) measuring the “complexity of the problem of navigation in X. ” We examine how the number TC

Abstract. Instabilities of robot motion are caused by topological reasons. In this paper we find a relation between the topological properties of a configuration space (the structure of its cohomology algebra) and the character of instabilities, which are unavoidable in any motion planning

We study the e↵ect of familiarization on the predictability of robot motion. Predictable motion is motion that matches the observer’s expectation. Because of the diculty robots have in learning motion from user demonstrations, we ex-plore the idea of having users learn from robot demonstra-tions

Abstract — Robots that display anticipatory motion provide their human partners with greater time to respond in interactive tasks because human partners are aware of robot intent earlier. We create anticipatory motion autonomously from a single motion exemplar by extracting hand and body symbols

Robot motion planning is a fairly intuitive and engaging topic, yet it is difficult to teach. The material is taught in undergraduate and graduate robotics classes in computer science, electrical engineering, mechanical engineering and aeronautical engineering, but at an abstract level. Deep