Παρακολούθηση
Stefanos Nikolaidis
Stefanos Nikolaidis
Associate Professor of Computer Science, University of Southern California
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα usc.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks
S Nikolaidis, R Ramakrishnan, K Gu, J Shah
Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015
2822015
Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy
S Nikolaidis, J Shah
2013 8th ACM/IEEE international conference on human-robot interaction (HRI …, 2013
2562013
Planning with trust for human-robot collaboration
M Chen, S Nikolaidis, H Soh, D Hsu, S Srinivasa
Proceedings of the 2018 ACM/IEEE international conference on human-robot …, 2018
2492018
Human-robot mutual adaptation in collaborative tasks: Models and experiments
S Nikolaidis, D Hsu, S Srinivasa
The International Journal of Robotics Research 36 (5-7), 618-634, 2017
2062017
Optimization of temporal dynamics for adaptive human-robot interaction in assembly manufacturing
R Wilcox, S Nikolaidis, J Shah
1752013
Human-robot mutual adaptation in shared autonomy
S Nikolaidis, YX Zhu, D Hsu, S Srinivasa
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017
1672017
Game-theoretic modeling of human adaptation in human-robot collaboration
S Nikolaidis, S Nath, AD Procaccia, S Srinivasa
Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017
1632017
Autonomy in physical human-robot interaction: A brief survey
M Selvaggio, M Cognetti, S Nikolaidis, S Ivaldi, B Siciliano
IEEE Robotics and Automation Letters 6 (4), 7989-7996, 2021
1622021
Trust-aware decision making for human-robot collaboration: Model learning and planning
M Chen, S Nikolaidis, H Soh, D Hsu, S Srinivasa
ACM Transactions on Human-Robot Interaction (THRI) 9 (2), 1-23, 2020
1562020
Covariance matrix adaptation for the rapid illumination of behavior space
MC Fontaine, J Togelius, S Nikolaidis, AK Hoover
Proceedings of the 2020 genetic and evolutionary computation conference, 94-102, 2020
1532020
Improved human–robot team performance through cross-training, an approach inspired by human team training practices
S Nikolaidis, P Lasota, R Ramakrishnan, J Shah
The International Journal of Robotics Research 34 (14), 1711-1730, 2015
1112015
Differentiable Quality Diversity
MC Fontaine, S Nikolaidis
Advances in Neural Information Processing Systems (NeurIPS), 2021
932021
Human-robot teaming using shared mental models
S Nikolaidis, J Shah
ACM/IEEE HRI, 2012
922012
Formalizing human-robot mutual adaptation: A bounded memory model
S Nikolaidis, A Kuznetsov, D Hsu, S Srinivasa
The Eleventh ACM/IEEE International Conference on Human Robot Interaction, 75-82, 2016
882016
Planning with verbal communication for human-robot collaboration
S Nikolaidis, M Kwon, J Forlizzi, S Srinivasa
ACM Transactions on Human-Robot Interaction (THRI) 7 (3), 1-21, 2018
872018
Illuminating mario scenes in the latent space of a generative adversarial network
MC Fontaine, R Liu, J Togelius, AK Hoover, S Nikolaidis
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2021, 2021
852021
Multi-armed bandits with fairness constraints for distributing resources to human teammates
H Claure, Y Chen, J Modi, M Jung, S Nikolaidis
Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020
81*2020
Human-robot collaboration in manufacturing: Quantitative evaluation of predictable, convergent joint action
S Nikolaidis, P Lasota, G Rossano, C Martinez, T Fuhlbrigge, J Shah
IEEE ISR 2013, 1-6, 2013
792013
Fair contextual multi-armed bandits: Theory and experiments
Y Chen, A Cuellar, H Luo, J Modi, H Nemlekar, S Nikolaidis
Conference on Uncertainty in Artificial Intelligence, 181-190, 2020
712020
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
B Tjanaka, MC Fontaine, J Togelius, S Nikolaidis
The Genetic and Evolutionary Computation Conference (GECCO), 2022
582022
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