Control of autonomous mobile robots in dynamical environments is interesting from a cognitive point of view as well as under application view points. Stimulus response controls ar...
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, like labels attached to objects and places. Although spatial informat...
— In this paper, we present a trajectory tracking control algorithm for an autonomous motorcycle for the DARPA Grand Challenge. The mathematical dynamic model of the autonomous m...
Jingang Yi, Dezhen Song, Anthony Levandowski, Suha...
The capability of perceiving the environment is crucial for advancing the level of autonomy and sophistication of (semi)autonomous robotic systems and determines the complexity of ...