Sentence examples for multiple robot motion from inspiring English sources

The problem of multiple robot motion planning focuses on computation of paths of different robots such that each robot has an optimal path, and so the overall path of all the robots combined is optimal.

Issues like static obstacle avoidance or mobile obstacle avoidance, known or unknown worlds, structured or unstructured environments and single or multiple robot motion are the main study cases in path planning.

Learning controllers are usually subordinate to conventional controllers in governing multiple-joint robot motion, in spite of their ability to generalize, because learning space complexity and motion variety require them to consume excessive amount of memory when they are employed as major roles in motion governing.

While that approach produced fast and accurate verification of single robot missions with robot motion uncertainty, it did not address multiple-robot missions or any form of uncertainty related to environment geometry.

In phase A, robot moved forward, arms transferred and moved with robot motion.

A hybrid robot motion controller is designed to ensure feasible robot motion in the neighborhood of kinematic singularities.

Cartesian locations (position and orientation) are added to the robot trajectory during the robot motion.

Formulation of the problem for multiple robot path planning has been elaborated in "Problem formulation for multiple robot navigation" section.

Because image information is mapped to robot movement by neural networks directly, it is difficult to teach jerky robot motion.

To avoid revealing that the modes were linked to whether the robot adapted its motions or not, the participants were simply told that a few robot motion parameters were changed.

However, Dragan et al. (2013) observed that legible robot trajectories are often not the same as what a person would predict, making legibility and predictability contradictory properties of robot motion.