The three planned collisions in the scene were aided by explosives and hydraulics to ensure the set's structures collapsed precisely.
This paper addresses the problem of planning collision free paths for hybrid robots.
Moreover, we present a method to automatically plan collision free robot motions that account for deflections of the bars, and finally a sensor based robot control method that binds the bars together while accounting for unexpected positional deviations.
"Researchers in the robot motion planning field have traditionally used computerised vision systems to locate objects in a cluttered environment to plan collision-free paths, but these systems have not provided any information about the objects' functions".
Ali et al. studied collision avoidance upon the double lifting of a mobile crane, and Perez et al. developed an algorithm for planning collision-free paths among polyhedral obstacles Lozano-Pérez and Wesleyy [1979]).
We present an approach for planning collision-free paths on-line for an underwater multi-robot system, which is composed by a leading Autonomous Underwater Vehicle (AUV) endowed with a multibeam sonar and high processing capabilities and a second AUV.
Density errors translate into orbit errors, adversely affecting applications such as re-entry operations, manoeuvre planning, collision avoidance and precise orbit determination for geodetic missions.
Aside from providing more precise manipulation, closed-loop position updates allow the use of standard macroscale robotic functions such as grasp planning, collision avoidance, and detection, grasping, and payload detection and delivery.
While the problem of determining the workspace of a robot arm has been extensively addressed in the literature, this rarely addressed problem is of significance to path planning, collision detection, plant layout, and robot design.
Various distributed path-planning, collision avoidance strategies are compared to each other in terms of the following metrics: delta-V spent during the manoeuvre, time required for the cluster to return to normal operations and distance of closest approach with the threat.
