Adjustable Autonomy (AA) is the name given to a variety of approaches to the task of giving outside entities the ability to change the level of autonomy of agents in an autonomous ...
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 ...
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
Abstract. Software agent technology has attracted much attention for developing various distributed systems, composed of autonomous agents interacting with one another using partic...
This paper addresses the multi-agent patrolling problem, which consists for a set of autonomous agents to visit all the places of an unknown environment as regularly as possible. T...