Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

We introduce an advanced, swift pattern recognition strategy for various multiple robotics
during curve negotiation. This method, leveraging a sophisticated k-means clustering …

The past decade has witnessed a significant growth of electric vehicles (EVs) deployment in
public and private transportation sectors. Dynamic electric vehicle routing aims to plan the …

In traditional decision-theoretic planning, information gathering is a means to a goal. The
agent receives information about its environment (state or observation) and uses it as a way …

Abstract Purpose of Review To effectively synthesise and analyse multi-robot behaviour, we
require formal task-level models which accurately capture multi-robot execution. In this …

This letter studies the synthesis of an active perception policy that maximizes the information
leakage of the initial state in a stochastic system modeled as a hidden Markov model (HMM) …

Coordinated multi-robot systems are an effective way to harvest data from sensor networks
and implement active perception strategies. However, achieving efficient coordination in a …

Decentralized planning is a key element of cooperative multi-agent systems for information
gathering tasks. However, despite the high frequency of agent failures in realistic large …

Coordinated multi-robot systems are an effective way to harvest data from sensor networks
and to implement active perception strategies. However, achieving efficient coordination in a …

In this article, we address a form of active perception characterized by curiosity-driven, open-
ended exploration with intrinsic motivation, carried out by a group of agents. The multiple …