Using automatic robot programming for space telerobotics

The interpreter of a task level robot programming system called Handey is described. Handey is a system that can recognize, manipulate and assemble polyhedral parts when given only a specification of the goal. To perform an assembly, Handey makes use of a recognition module, a gross motion planner, a grasp planner, a local approach planner and is capable of planning part re-orientation. The possibility of including these modules in a telerobotics work-station is discussed

Decentralized motion planning for multiple mobile robots: The cocktail party model

Abstract. This paper presents an approach for decentralized real-time motion planning for multiple mobile robots operating in a common 2-dimensional environment with unknown stationary obstacles. In our model, a robot can see (sense) the surrounding objects. It knows its current and its target’s position, is able to distinguish a robot from an obstacle, and can assess the instantaneous motion of another robot. Other than this, a robot has no knowledge about the scene or of the paths and objectives of other robots. There is no mutual communication among the robots; no constraints are imposed on the paths or shapes of robots and obstacles. Each robot plans its path toward its target dynamically, based on its current position and the sensory feedback; only the translation component is considered for the planning purposes. With this model, it is clear that no provable motion planning strategy can be designed (a simple example with a dead-lock is discussed); this naturally points to heuristic algorithms. The suggested strategy is based on maze-searching techniques. Computer simulation results are provided that demonstrate good performance and a remarkable robustness of the algorithm (meaning by this a virtual impossibility to create a dead-lock in a “random ” scene). Keywords: mobile robots, autonomous agents, decentralized intelligence, robot motion plannin

An Experimental Comparison of Path Planning Techniques for Teams of Mobile Robots

This paper considers the problem of path planning for teams of mobile robots. It investigates two decoupled and prioritized approaches to coordinate the movements of the mobile robots in their environment. The first approach considered is the coordination technique. The second approach is an A -based path planning technique which computes the paths for the individual robots in the configuration time-space. Thereby it trades off the distance to both to static objects as well as to other robots and the length of the path to be traveled. In different experiments carried out with real robots and in simulations we demonstrate that the A -based approach is well suited to control the motions of a team of robots in various environments and illustrate its advantages over the coordination technique