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2020 – today
- 2021
[j2]Olivier Mangin, Alessandro Roncone, Brian Scassellati
:
How to be Helpful? Supportive Behaviors and Personalization for Human-Robot Collaboration. Frontiers Robotics AI 8 (2021)
2010 – 2019
- 2019
- [c13]Karsten Behrendt, Olivier Mangin, Namrata Bhakta, Stéphanie Lefèvre:
Is This Car Going to Move? Parked Car Classification for Automated Vehicles. IV 2019: 541-548 - 2018
- [c12]Elena Corina Grigore, Olivier Mangin, Alessandro Roncone, Brian Scassellati:
Predicting Supportive Behaviors for Human-Robot Collaboration. AAMAS 2018: 2186-2188 - [c11]Jake Brawer, Olivier Mangin, Alessandro Roncone, Sarah Widder, Brian Scassellati:
Situated Human-Robot Collaboration: predicting intent from grounded natural language. IROS 2018: 827-833 - [c10]Sofya Zeylikman, Sarah Widder, Alessandro Roncone, Olivier Mangin, Brian Scassellati:
The HRC Model Set for Human-Robot Collaboration Research. IROS 2018: 1845-1852 - [c9]Elena Corina Grigore, Alessandro Roncone, Olivier Mangin, Brian Scassellati:
Preference-Based Assistance Prediction for Human-Robot Collaboration Tasks. IROS 2018: 4441-4448 - [c8]Sergei Nirenburg, Marjorie McShane, Stephen Beale, Peter Wood, Brian Scassellati, Olivier Mangin, Alessandro Roncone:
Toward Human-Like Robot Learning. NLDB 2018: 73-82 - 2017
- [j1]Olivier Mangin:
Multimodal concepts for social robots. AI Matters 3(1): 19-20 (2017) - [c7]Alessandro Roncone, Olivier Mangin, Brian Scassellati:
Transparent role assignment and task allocation in human robot collaboration. ICRA 2017: 1014-1021 - [i2]Olivier Mangin, Alessandro Roncone, Brian Scassellati:
How to be Helpful? Implementing Supportive Behaviors for Human-Robot Collaboration. CoRR abs/1710.11194 (2017) - [i1]Sofya Zeylikman, Sarah Widder, Alessandro Roncone, Olivier Mangin, Brian Scassellati:
The HRC Model Set for Human-Robot Collaboration Research. CoRR abs/1710.11211 (2017) - 2014
- [b1]Olivier Mangin:
The Emergence of Multimodal Concepts : From Perceptual Motion Primitives to Grounded Acoustic Words. (Emergence de concepts multimodaux : de la perception de mouvements primitifs à l'ancrage de mots acoustiques). University of Bordeaux, France, 2014 - 2013
- [c6]Olivier Mangin, Pierre-Yves Oudeyer:
Learning semantic components from subsymbolic multimodal perception. ICDL-EPIROB 2013: 1-7 - [c5]Olivier Mangin, Nicolas Mayer, Béatrix Barafort, Patrick Heymans, Eric Dubois:
An Improvement of Process Reference Model Design and Validation Using Business Process Management. SPICE 2013: 73-83 - 2012
- [c4]Olivier Mangin, Pierre-Yves Oudeyer:
Learning the Combinatorial Structure of Demonstrated Behaviors with Inverse Feedback Control. HBU 2012: 134-147 - [c3]Olivier Mangin, Pierre-Yves Oudeyer:
Learning to recognize parallel combinations of human motion primitives with linguistic descriptions using non-negative matrix factorization. IROS 2012: 3268-3275 - [c2]Olivier Mangin, Béatrix Barafort, Patrick Heymans, Eric Dubois:
Designing a Process Reference Model for Information Security Management Systems. SPICE 2012: 129-140 - 2010
- [c1]Olivier Mangin, Pierre-Yves Oudeyer, David Filliat:
A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams. EpiRob 2010
Coauthor Index
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