Toward an exploration-based probabilistic reasoning for a quadrotor

Autor: Ivan Zelinka, Naveed Muhammad, Assia Belbachir, Johvany Gustave

Publikováno v: Intelligent Service Robotics. 14:563-570

This work outlines a practically realizable (i.e., deployable and scalable) yet novel autonomous exploration strategy for unmanned aerial vehicles (UAV), which in our case, corresponds to multi-rotor configurations. Concretely, based on a probabilist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e4b9d69412599ce9daad0fc9f74bf02
https://doi.org/10.1007/s11370-021-00378-3

A Force Field Reinforcement Learning Approach for the Observation Problem

Autor: Jamy Chahal, Amal El Fallah Seghrouchni, Assia Belbachir

Publikováno v: Intelligent Distributed Computing XIV ISBN: 9783030966263

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af6691bdd69bf9bea8a91a6a7dfb78dd
https://doi.org/10.1007/978-3-030-96627-0_9

HMDCS-UV: A concept study of Hybrid Monitoring, Detection and Cleaning System for Unmanned Vehicles

Autor: Hichem Benfriha, Salima Bella, Ghalem Belalem, Assia Belbachir

Publikováno v: Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems, Springer Verlag, 2021, 102 (2), ⟨10.1007/s10846-021-01372-8⟩
Journal of Intelligent & Robotic Systems

Incidents of hydraulic or oil spills in the oceans/seas or ports occur with some regularity during the exploitation, production and transportation of petroleum products. Immediate, safe, effective and environmentally friendly measures must be adopted

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0e55e146e552868101079a7a8a128aa
https://hal.archives-ouvertes.fr/hal-03261704

Adaptive and Collaborative Agent-based Traffic Regulation Using Behavior Trees

Autor: Casals, A., Assia Belbachir, Fallah-Seghrouchni, A. E.

Publikováno v: AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, May 2020, Auckland, New Zealand. pp.1789-1791, ⟨10.5555/3398761.3398983⟩
Scopus-Elsevier

International audience; In this paper, we propose a self-adaptive approach to build a smart traffic light management dealing with intersections. This approach relies on the multiagent systems architecture, suitable to support a distributed and collab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6dd26c55d0d9a75001be7d5013000646
https://hal.sorbonne-universite.fr/hal-02893353/document

An efficient cooperative exploration strategy for wireless sensor network

Autor: Assia Belbachir, Sorore Benabid

Publikováno v: Intelligent Service Robotics
Intelligent Service Robotics, Springer Verlag, 2018, 11 (3), pp.237-246

Wireless sensor networks (WSNs) are used in several applications such as healthcare devices, aerospace systems, automobile industry, security monitoring. However, WSNs have several challenges to improve the efficiency, robustness, failure tolerance a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::748f96446fed16af4b26e725ded4e38f
https://doi.org/10.1007/s11370-018-0249-x