An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments

Autor: Facundo Benavides, Caroline Ponzoni Carvalho Chanel, Pablo Monzón, Eduardo Grampín

Publikováno v: Applied Sciences, Vol 9, Iss 3, p 573 (2019)

The exploration problem is a fundamental subject in autonomous mobile robotics that deals with achieving the complete coverage of a previously unknown environment. There are several scenarios where completing exploration of a zone is a main part of t

Externí odkaz: https://doaj.org/article/6016b9268fa0436a9bd05914977fa5cd

Safe path planning for UAV urban operation under GNSS signal occlusion risk

Autor: Yoko Watanabe, Jean-Alexis Delamer, Caroline Ponzoni Carvalho Chanel

Publikováno v: Robotics and Autonomous Systems
Robotics and Autonomous Systems, Elsevier, 2021, pp.103800. ⟨10.1016/j.robot.2021.103800⟩

International audience; This paper introduces a concept of safe path planning for UAV’s autonomous operation in an urban environment where GNSS-positioning may become unreliable or even unavailable. If the operation environment is a priori known an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726b829df751a3e341f94e2a727b4b31
https://hal.archives-ouvertes.fr/hal-03336825/document

Connecting AI-based Oracles to Blockchains via an Auditable Auction Protocol

Autor: Jérôme Lacan, Bernardo Sata, Aizar Berlanga, Caroline Ponzoni Carvalho Chanel

Publikováno v: BRAINS

The use of Artificial Intelligence (AI), in particular sequential decision-making (SDM) algorithms, in blockchains can greatly improve their autonomy and general features. In this context, this paper proposes the protocol CONDOR (Connecting ai-based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fe20ded572fa780ce03feaa4d93e3ef
https://oatao.univ-toulouse.fr/28710/

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework

Autor: Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais

Publikováno v: Engineering Psychology and Cognitive Ergonomics. Cognition and Design ISBN: 9783030491826
HCI (7)
Engineering Psychology and Cognitive Ergonomics. Cognition and Design. HCII 2020
22nd International Conference on Human-Computer Interaction-HCI INTERNATIONAL 2020
22nd International Conference on Human-Computer Interaction-HCI INTERNATIONAL 2020, Jul 2020, Copenhagen, Denmark. pp.117-133, ⟨10.1007/978-3-030-49183-3_10⟩

International audience; The recent progress in robotics and artificial intelligence raises the question of the efficient artificial agents interaction with humans. For instance, artificial intelligence has achieved technical advances in perception an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4a2bb5e9c64892a02215b6997295185
https://oatao.univ-toulouse.fr/26588/

Correction: Solving path planning problems in urban environments based on a priori sensors availabilities and execution error propagation

Autor: Yoko Watanabe, Caroline Ponzoni Carvalho Chanel, Jean-Alexis Delamer

Publikováno v: AIAA Scitech 2019 Forum.

This paper addresses safe path planning problem in urban environments under onboard sensor availability uncertainty. In this context, an approach based on Mixed-Observability Markov Decision Process (MOMDP) is presented. Such a model enables the plan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::510b0858250b31606151a96a14d5006f
https://doi.org/10.2514/6.2019-2202.c1