Caroline Ponzoni Carvalho Chanel

According to our database, Caroline Ponzoni Carvalho Chanel authored at least 43 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Causal Reinforcement Learning in Iterated Prisoner's Dilemma.

Yosra Kazemi, Caroline P. C. Chanel, Sidney Givigi

IEEE Trans. Comput. Soc. Syst., April, 2024

POMDP-BCI: A Benchmark of (Re)Active BCI Using POMDP to Issue Commands.

Juan Jesús Torre Tresols, Caroline P. C. Chanel, Frédéric Dehais

IEEE Trans. Biomed. Eng., March, 2024

Verifiable Multi-Agent Multi-Task Assignment.

Thomas Lavaur, Déborah Conforto Nedelmann, Corentin Chauffaut, Jérôme Lacan, Caroline P. C. Chanel

Proceedings of the IEEE Secure Development Conference, 2024

FIT-SLAM - Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments.

Suchetan Saravanan, Corentin Chauffaut, Caroline P. C. Chanel, Damien Vivet

Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

SKATE : Successive Rank-based Task Assignment for Proactive Online Planning.

Déborah Conforto Nedelmann, Jérôme Lacan, Caroline P. C. Chanel

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming.

Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Modular zk-rollup on-demand.

Thomas Lavaur, Jonathan Detchart, Jérôme Lacan, Caroline P. C. Chanel

J. Netw. Comput. Appl., 2023

Online Proactive Multi-Task Assignment with Resource Availability Anticipation.

Déborah Conforto Nedelmann, Jérôme Lacan, Caroline P. C. Chanel

Proceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy, 2023

Data-Efficient Offline Reinforcement Learning with Approximate Symmetries.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Proven Transaction Flow Control for zk-Rollups.

Sergio Martínez, Thomas Lavaur, Jérôme Lacan, Caroline P. C. Chanel

Proceedings of the 5th Conference on Blockchain Research & Applications for Innovative Networks and Services, 2023

2022

Enabling Blockchain Services for IoE with Zk-Rollups.

Thomas Lavaur, Jérôme Lacan, Caroline P. C. Chanel

Sensors, 2022

Towards a POMDP-based Control in Hybrid Brain-Computer Interfaces.

Juan Jesús Torre Tresols, Caroline P. C. Chanel, Frédéric Dehais

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Expert-guided Symmetry Detection in Markov Decision Processes.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

POMDP-Based Adaptive Interaction Through Physiological Computing.

Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. C. Chanel

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Learning Path Constraints for UAV Autonomous Navigation Under Uncertain GNSS Availability.

Marion Zaninotti, Charles Lesire, Yoko Watanabe, Caroline P. C. Chanel

Proceedings of the PAIS 2022, 2022

2021

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

Jean-Alexis Delamer, Yoko Watanabe, Caroline P. C. Chanel

Robotics Auton. Syst., 2021

Towards a Blockchain-Based Multi-UAV Surveillance System.

Mário Gabriel Santos De Campos, Caroline P. C. Chanel, Corentin Chauffaut, Jérôme Lacan

Frontiers Robotics AI, 2021

Exploiting Expert-guided Symmetry Detection in Markov Decision Processes.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

CoRR, 2021

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

CoRR, 2021

AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study.

Frédéric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

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

Bernardo Sata, Aizar Berlanga, Caroline P. C. Chanel, Jérôme Lacan

Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

2020

Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction.

Caroline P. Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard

Sensors, 2020

How Can Physiological Computing Benefit Human-Robot Interaction?

Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel

Robotics, 2020

Predicting Human Operator's Decisions Based on Prospect Theory.

Paulo E. U. de Souza, Caroline P. C. Chanel, Melody Mailliez, Frédéric Dehais

Interact. Comput., 2020

Offline Learning for Planning: A Summary.

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

CoRR, 2020

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

Caroline P. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais

Proceedings of the Engineering Psychology and Cognitive Ergonomics. Cognition and Design, 2020

Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning.

Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics.

Caroline Ponzoni Carvalho Chanel, Alexandre Albore, Jorrit T'Hooft, Charles Lesire, Florent Teichteil-Königsbuch

Auton. Robots, 2019

Online ECG-based Features for Cognitive Load Assessment.

Caroline P. C. Chanel, Matthew D. Wilson, Sébastien Scannella

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation.

Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. Carvalho Chanel

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018

Human-Agent Interaction Model Learning based on Crowdsourcing.

Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard

Proceedings of the 6th International Conference on Human-Agent Interaction, 2018

2017

Pre-stimulus antero-posterior EEG connectivity predicts performance in a UAV monitoring task.

Mehdi Senoussi, Kevin J. Verdiere, Angela Bovo, Caroline P. Carvalho Chanel, Frédéric Dehais, Raphaëlle N. Roy

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Online Proactive Planning with Multiple Hypotheses.

Jorrit T'Hooft, Charles Lesire, Caroline Ponzoni Carvalho Chanel

Proceedings of the STAIRS 2016, 2016

Towards human-robot interaction: A framing effect experiment.

Paulo E. U. de Souza, Caroline Ponzoni Carvalho Chanel, Frédéric Dehais, Sidney Givigi

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Multi-robot Cooperative Systems for Exploration: Advances in Dealing with Constrained Communication Environments.

Facundo Benavides, Pablo Monzón, Caroline P. Carvalho Chanel, Eduardo Grampín

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Considering human's non-deterministic behavior and his availability state when designing a collaborative human-robots system.

Thibault Gateau, Caroline Ponzoni Carvalho Chanel, Mai-Huy Le, Frédéric Dehais

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

MOMDP-Based Target Search Mission Taking into Account the Human Operator's Cognitive State.

Paulo Eduardo Ubaldino de Souza, Caroline Ponzoni Carvalho Chanel, Frédéric Dehais

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014

A Robotic Execution Framework for Online Probabilistic (Re)Planning.

Caroline Ponzoni Carvalho Chanel, Charles Lesire, Florent Teichteil-Königsbuch

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013

Properly Acting under Partial Observability with Action Feasibility Constraints.

Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multi-Target Detection and Recognition by UAVs Using Online POMDPs.

Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch, Charles Lesire

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

POMDP-based online target detection and recognition for autonomous UAVs.

Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch, Charles Lesire

Proceedings of the ECAI 2012, 2012

2010

POMDP solving: what rewards do you really expect at execution?

Caroline Ponzoni Carvalho Chanel, Jean-Loup Farges, Florent Teichteil-Königsbuch, Guillaume Infantes

Proceedings of the STAIRS 2010, 2010