This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
— Many novel spatio-temporal applications deal with moving objects. In such environments, a database typically maintains the initial position and the moving function for each obj...
Marios Hadjieleftheriou, George Kollios, Vassilis ...
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
— Traditionally, robot control has been done typically by “highly precise control algorithms”: the position of each movable body part is accurately determined at any time wit...