Path planning is the key technology for autonomous mobile robots. In view of the shortage of
paths found by traditional best first search (BFS) and rapidly-exploring random trees (RRT) …

Multi-agent collaborative target search is one of the main challenges in the multi-agent field,
and deep reinforcement learning (DRL) is a good way to learn such a task. However, DRL …

This paper examines whether a virtual assistant with emotional intelligence improves the
Human-Machine Interaction (HMI) in the specific use case of price negotiations. We propose …

As the number of social and psychological service robots increase, many robots which have
emotions have been developed. In order to implement an emotion generation model, the …

Emotions are commonly considered to be the most expressive of everyday human
experiences, giving a sense of fullness and reality of life. The ability to recognize human …

In this paper, a new benchmark, for testing the capability of Evolutionary Algorithms to
generate maze solving Exploration Strategies is introduced. This benchmark solves three …

Real-time heuristic search methods are used when planning time available per agent's
move is severely limited (eg, while pathfinding in a video game). Such agents interleave …

Researchers from psychology and computer science consider artificial emotions as a
missing component in cognitive systems. Such affective and cognitive systems are said to be …

The main contribution of this paper is the detailed design of an ethorobotic test environment
for simulating behaviour models, together with an implementation of an autonomous …

Artificial intelligence (AI) research has largely focused on rational thinking, decision making,
goal achievement, and reward maximization. Emotions have been considered nonessential …