Alex Coninx
Alex Coninx
Institute of Intelligent Systems and Robotics, Sorbonne Université (formerly UPMC) / CNRS
Verified email at - Homepage
Cited by
Cited by
Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users
A Coninx, P Baxter, E Oleari, S Bellini, B Bierman, O Blanson Henkemans, ...
Journal of Human-Robot Interaction 5 (1), 32-67, 2016
Open-ended learning: a conceptual framework based on representational redescription
S Doncieux, D Filliat, N Díaz-Rodríguez, T Hospedales, R Duro, A Coninx, ...
Frontiers in neurorobotics 12, 59, 2018
Visualization of uncertain scalar data fields using color scales and perceptually adapted noise
A Coninx, GP Bonneau, J Droulez, G Thibault
8th international conference on Applied Perception for Graphics and …, 2011
Bayesian sensor fusion with fast and low power stochastic circuits
A Coninx, P Bessière, E Mazer, J Droulez, R Laurent, MA Aslam, J Lobo
2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016
From exploration to control: learning object manipulation skills through novelty search and local adaptation
S Kim, A Coninx, S Doncieux
arXiv preprint arXiv:1901.00811, 2019
Novelty search: a theoretical perspective
S Doncieux, A Laflaquière, A Coninx
Proceedings of the Genetic and Evolutionary Computation Conference, 99-106, 2019
Semantic-based interaction for teaching robot behavior compositions
V Paléologue, J Martin, AK Pandey, A Coninx, M Chetouani
Robot and Human Interactive Communication (RO-MAN), 2017 26th IEEE …, 2017
Behavioral accommodation towards a dance robot tutor
R Ros, A Coninx, Y Demiris, G Patsis, V Enescu, H Sahli
Proceedings of the 2014 ACM/IEEE international conference on Human-robot …, 2014
Adaptive motivation in a biomimetic action selection mechanism
A Coninx, A Guillot, B Girard
2nd french conference on computational neuroscience (NeuroComp 2008), 158-162, 2008
Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals
A Coninx, P Bessière, J Droulez
International Journal of Approximate Reasoning, 2016
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
S Doncieux, N Bredeche, LL Goff, B Girard, A Coninx, O Sigaud, ...
arXiv preprint arXiv:2005.06223, 2020
Building an affordances map with interactive perception
LKL Goff, O Yaakoubi, A Coninx, S Doncieux
arXiv preprint arXiv:1903.04413, 2019
Bootstrapping robotic ecological perception from a limited set of hypotheses through interactive perception
LKL Goff, G Mukhtar, A Coninx, S Doncieux
arXiv preprint arXiv:1901.10968, 2019
Psychophysical evaluation and modelisation of contrast sensitivity thresholds for Perlin noise
A Coninx, GP Bonneau, G Thibault, J Droulez
AVA Christmas Meeting 2010, 2010
On pros and cons of evolving topologies with novelty search
LK Le Goff, E Hart, A Coninx, S Doncieux
Artificial Life Conference Proceedings, 423-431, 2020
Novelty Search makes Evolvability Inevitable
S Doncieux, G Paolo, A Laflaquière, A Coninx
arXiv preprint arXiv:2005.06224, 2020
Unsupervised Learning and Exploration of Reachable Outcome Space
G Paolo, A Laflaquiere, A Coninx, S Doncieux
algorithms 24, 25, 2019
Unconventional computing for Bayesian inference
J Lobo, JF Ferreira
International Journal of Approximate Reasoning 88, 306-308, 2017
Visualisation interactive de grands volumes de données incertaines: pour une approche perceptive
A Coninx
Grenoble, 2012
State Representation Learning from Demonstration
A Merckling, A Coninx, L Cressot, S Doncieux, N Perrin
International Conference on Machine Learning, Optimization, and Data Science …, 2020
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