In this paper, we start from an assigned control law with known probability distributions of its execution time. Our goal is to identify an optimised scheduling policy that allows ...
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
With the lack of admission control and resource reservation mechanisms in the Internet, overload situations can only be avoided by having the end systems deploying congestion cont...
In this paper, an adaptive motion force control based approach is proposed to control bilateral teleoperation systems under both position and rate control with arbitrary motion fo...