Abstract—We present a distributed connectivity service that allows agents in a mobile ad-hoc network to move while preserving connectivity. This allows unmodified motion plannin...
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Abstract— Kinodynamic planning algorithms have the potential to find feasible control trajectories which accomplish a task even in very nonlinear or constrained dynamical system...
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
— Motion planning for robots with many degrees of freedom (DoF) is a generally unsolved problem in the robotics context. In this work an approach for trajectory planning is prese...
Niko Vahrenkamp, Christian Scheurer, Tamim Asfour,...
Abstract— This paper provides proof-of-concept that stateof-the-art sampling-based motion planners that are tightly integrated with a physics-based simulator can compute paths th...
Ioan Alexandru Sucan, Jonathan F. Kruse, Mark Yim,...
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
— In this paper, we consider a motion planning problem for a class of constrained nonlinear systems. In each simplex of a triangulation of the set of states, the nonlinear dynami...
— We present a motion planning scheme for ground vehicles operating in a partially known environment. Kinematic constraints stemming from vehicle dynamics and from the requiremen...
— In this paper, we present efficient solutions for planning motions of dual-arm manipulation and re-grasping tasks. Motion planning for such tasks on humanoid robots with a hig...
Niko Vahrenkamp, Dmitry Berenson, Tamim Asfour, Ja...