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2020 – today
- 2024
[j15]Guy Hoffman, Tapomayukh Bhattacharjee, Stefanos Nikolaidis:
Inferring Human Intent and Predicting Human Action in Human-Robot Collaboration. Annu. Rev. Control. Robotics Auton. Syst. 7(1) (2024)- [j14]Heramb Nemlekar
, Naren Sivagnanadasan, Subham Banga, Neel Dhanaraj, Satyandra K. Gupta, Stefanos Nikolaidis:
Selecting Source Tasks for Transfer Learning of Human Preferences. IEEE Robotics Autom. Lett. 9(8): 6896-6903 (2024) - [c76]Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis:
Quality-Diversity Generative Sampling for Learning with Synthetic Data. AAAI 2024: 19805-19812 - [c75]Neel Dhanaraj, Minseok Jeon, Jeon Ho Kang, Stefanos Nikolaidis, Satyandra K. Gupta:
Preference Elicitation and Incorporation for Human-Robot Task Scheduling. CASE 2024: 3103-3110 - [c74]Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis:
Generating Diverse Critics for Conditioned Policy Distillation. GECCO Companion 2024: 167-170 - [c73]Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Quality Diversity for Robot Learning: Limitations and Future Directions. GECCO Companion 2024: 587-590 - [c72]David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis:
Density Descent for Diversity Optimization. GECCO 2024 - [c71]Melina Daniilidis, Nathaniel Steele Dennler, Maja J. Mataric, Stefanos Nikolaidis:
Adapting Task Difficulty in a Cup-Stacking Rehabilitative Task. HRI (Companion) 2024: 374-378 - [c70]Nathaniel Steele Dennler, Stefanos Nikolaidis, Maja J. Mataric:
Using Exploratory Search to Learn Representations for Human Preferences. HRI (Companion) 2024: 392-396 - [c69]Uksang Yoo, Nathaniel Dennler, Maja J. Mataric, Stefanos Nikolaidis, Jean Oh, Jeffrey Ichnowski:
MOE-Hair: Toward Soft and Compliant Contact-rich Hair Manipulation and Care. HRI (Companion) 2024: 1163-1167 - [c68]Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. ICLR 2024 - [c67]Neel Dhanaraj, Jeon Ho Kang, Anirban Mukherjee, Heramb Nemlekar, Stefanos Nikolaidis, Satyandra K. Gupta:
Multi-Robot Task Allocation Under Uncertainty Via Hindsight Optimization. ICRA 2024: 16574-16580 - [c66]Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. IJCAI 2024: 311-320 - [c65]Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha:
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. IROS 2024: 670-676 - [c64]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Signal Temporal Logic-Guided Apprenticeship Learning. IROS 2024: 11147-11154 - [c63]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). SOCS 2024: 305-306 - [c62]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). SOCS 2024: 307-308 - [c61]Nathaniel Steele Dennler, Evan Torrence, Uksang Yoo, Stefanos Nikolaidis, Maja J. Mataric:
PyLips: an Open-Source Python Package to Expand Participation in Embodied Interaction. UIST (Adjunct Volume) 2024: 33:1-33:4 - [i56]Nathaniel Dennler, David Delgado, Daniel Zeng, Stefanos Nikolaidis, Maja J. Mataric:
The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration. CoRR abs/2401.03088 (2024) - [i55]Nathaniel Dennler, Amelia Cain, Erica De Guzman, Claudia Chiu, Carolee J. Winstein, Stefanos Nikolaidis, Maja J. Mataric:
A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm. CoRR abs/2401.06974 (2024) - [i54]Nathaniel Dennler, Stefanos Nikolaidis, Maja J. Mataric:
Singing the Body Electric: The Impact of Robot Embodiment on User Expectations. CoRR abs/2401.06977 (2024) - [i53]Yulun Zhang, Jiang He, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. CoRR abs/2402.01446 (2024) - [i52]Nathaniel Dennler, Stefanos Nikolaidis, Maja J. Mataric:
Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals. CoRR abs/2403.04109 (2024) - [i51]Nathaniel Steele Dennler, Mina J. Kian, Stefanos Nikolaidis, Maja J. Mataric:
Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot Gender Perception. CoRR abs/2404.00494 (2024) - [i50]Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita:
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR abs/2406.09640 (2024) - [i49]Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Quality Diversity for Robot Learning: Limitations and Future Directions. CoRR abs/2407.17515 (2024) - [i48]Stefanos Nikolaidis:
Algorithmic Scenario Generation as Quality Diversity Optimization. CoRR abs/2409.04711 (2024) - [i47]Cheng Qian, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li:
A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps. CoRR abs/2409.06888 (2024) - [i46]Robby Costales, Stefanos Nikolaidis:
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity. CoRR abs/2411.04466 (2024) - [i45]Nathaniel Dennler, Zhonghao Shi, Stefanos Nikolaidis, Maja J. Mataric:
Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive Robots. CoRR abs/2411.11182 (2024) - 2023
- [j13]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis:
Multi-robot geometric task-and-motion planning for collaborative manipulation tasks. Auton. Robots 47(8): 1537-1558 (2023) - [j12]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Learning Performance Graphs From Demonstrations via Task-Based Evaluations. IEEE Robotics Autom. Lett. 8(1): 336-343 (2023) - [j11]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis:
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. IEEE Robotics Autom. Lett. 8(10): 6771-6778 (2023) - [j10]Nathaniel Dennler, Amelia Cain, Erica De Guzman, Claudia Chiu, Carolee J. Winstein, Stefanos Nikolaidis, Maja J. Mataric:
A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm. Sci. Robotics 8(84) (2023) - [j9]Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo, Brenna Chen, Stefanos Nikolaidis, Maja J. Mataric:
Design Metaphors for Understanding User Expectations of Socially Interactive Robot Embodiments. ACM Trans. Hum. Robot Interact. 12(2): 21:1-21:41 (2023) - [c60]Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL 2023: 513-539 - [c59]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. GECCO 2023: 220-229 - [c58]Matthew C. Fontaine, Stefanos Nikolaidis:
Covariance Matrix Adaptation MAP-Annealing. GECCO 2023: 456-465 - [c57]Heramb Nemlekar, Neel Dhanaraj, Angelos Guan, Satyandra K. Gupta, Stefanos Nikolaidis:
Transfer Learning of Human Preferences for Proactive Robot Assistance in Assembly Tasks. HRI 2023: 575-583 - [c56]Omey M. Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta:
Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications. ICRA 2023: 849-856 - [c55]Neel Dhanaraj, Santosh V. Narayan, Stefanos Nikolaidis, Satyandra K. Gupta:
Contingency-Aware Task Assignment and Scheduling for Human-Robot Teams. ICRA 2023: 5765-5771 - [c54]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Multi-Robot Coordination and Layout Design for Automated Warehousing. IJCAI 2023: 5503-5511 - [c53]Nathaniel Dennler, David Delgado, Daniel Zeng, Stefanos Nikolaidis, Maja J. Mataric:
The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration. ISER 2023: 3-10 - [c52]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. NeurIPS 2023 - [c51]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Robotics: Science and Systems 2023 - [i44]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR abs/2303.00191 (2023) - [i43]Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR abs/2304.13787 (2023) - [i42]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Multi-Robot Coordination and Layout Design for Automated Warehousing. CoRR abs/2305.06436 (2023) - [i41]Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR abs/2305.13795 (2023) - [i40]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis:
Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks. CoRR abs/2310.08802 (2023) - [i39]Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha:
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. CoRR abs/2310.10606 (2023) - [i38]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. CoRR abs/2310.18622 (2023) - [i37]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Signal Temporal Logic-Guided Apprenticeship Learning. CoRR abs/2311.05084 (2023) - [i36]David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis:
Density Descent for Diversity Optimization. CoRR abs/2312.11331 (2023) - [i35]Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis:
Quality-Diversity Generative Sampling for Learning with Synthetic Data. CoRR abs/2312.14369 (2023) - 2022
- [j8]Matthew C. Fontaine, Stefanos Nikolaidis:
Evaluating Human-Robot Interaction Algorithms in Shared Autonomy via Quality Diversity Scenario Generation. ACM Trans. Hum. Robot Interact. 11(3): 25:1-25:30 (2022) - [j7]Shihan Lu, Mianlun Zheng, Matthew C. Fontaine, Stefanos Nikolaidis, Heather Culbertson:
Preference-Driven Texture Modeling Through Interactive Generation and Search. IEEE Trans. Haptics 15(3): 508-520 (2022) - [c50]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CASE 2022: 2102-2109 - [c49]Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius:
Illuminating diverse neural cellular automata for level generation. GECCO 2022: 68-76 - [c48]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. GECCO 2022: 158-167 - [c47]Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis:
Approximating gradients for differentiable quality diversity in reinforcement learning. GECCO 2022: 1102-1111 - [c46]Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis:
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI 2022: 1275-1277 - [c45]Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis:
Poster Abstract: Learning from Demonstrations with Temporal Logics. HSCC 2022: 29:1-29:2 - [c44]Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis:
Deep Surrogate Assisted Generation of Environments. NeurIPS 2022 - [c43]Heramb Nemlekar, Runyu Guan, Guanyang Luo, Satyandra K. Gupta, Stefanos Nikolaidis:
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks. RO-MAN 2022: 1161-1167 - [c42]Neel Dhanaraj, Rishi K. Malhan, Heramb Nemlekar, Stefanos Nikolaidis, Satyandra K. Gupta:
Human-Guided Goal Assignment to Effectively Manage Workload for a Smart Robotic Assistant. RO-MAN 2022: 1305-1312 - [c41]Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis:
Generating Diverse Indoor Furniture Arrangements. SIGGRAPH Posters 2022: 60:1-60:2 - [i34]Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo, Brenna Chen, Stefanos Nikolaidis, Maja J. Mataric:
Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments. CoRR abs/2201.10671 (2022) - [i33]Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis:
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning. CoRR abs/2202.03666 (2022) - [i32]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Learning Performance Graphs from Demonstrations via Task-Based Evaluations. CoRR abs/2204.05909 (2022) - [i31]Matthew C. Fontaine, Stefanos Nikolaidis:
Covariance Matrix Adaptation MAP-Annealing. CoRR abs/2205.10752 (2022) - [i30]Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis:
Deep Surrogate Assisted Generation of Environments. CoRR abs/2206.04199 (2022) - [i29]Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis:
Generating Diverse Indoor Furniture Arrangements. CoRR abs/2206.10608 (2022) - [i28]Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. CoRR abs/2208.02932 (2022) - [i27]Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis:
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. CoRR abs/2210.02622 (2022) - [i26]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CoRR abs/2210.08005 (2022) - [i25]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR abs/2212.04708 (2022) - 2021
- [j6]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Learning From Demonstrations Using Signal Temporal Logic in Stochastic and Continuous Domains. IEEE Robotics Autom. Lett. 6(4): 6250-6257 (2021) - [j5]Mario Selvaggio, Marco Cognetti, Stefanos Nikolaidis, Serena Ivaldi, Bruno Siciliano:
Autonomy in Physical Human-Robot Interaction: A Brief Survey. IEEE Robotics Autom. Lett. 6(4): 7989-7996 (2021) - [c40]Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis:
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. AAAI 2021: 5922-5930 - [c39]Heramb Nemlekar, Jignesh Modi, Satyandra K. Gupta, Stefanos Nikolaidis:
Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks. ICRA 2021: 3487-3494 - [c38]Bingjie Tang, Matthew Corsaro, George Konidaris, Stefanos Nikolaidis, Stefanie Tellex:
Learning Collaborative Pushing and Grasping Policies in Dense Clutter. ICRA 2021: 6177-6184 - [c37]Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis:
Robotic Lime Picking by Considering Leaves as Permeable Obstacles. IROS 2021: 3278-3284 - [c36]Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis:
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. IROS 2021: 3739-3746 - [c35]Matthew C. Fontaine, Stefanos Nikolaidis:
Differentiable Quality Diversity. NeurIPS 2021: 10040-10052 - [c34]Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric:
Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy. RO-MAN 2021: 873-879 - [c33]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems 2021 - [c32]Matthew C. Fontaine, Stefanos Nikolaidis:
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. Robotics: Science and Systems 2021 - [i24]Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Learning from Demonstrations using Signal Temporal Logic. CoRR abs/2102.07730 (2021) - [i23]Heramb Nemlekar, Jignesh Modi, Satyandra K. Gupta, Stefanos Nikolaidis:
Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks. CoRR abs/2103.14994 (2021) - [i22]Matthew C. Fontaine, Stefanos Nikolaidis:
Differentiable Quality Diversity. CoRR abs/2106.03894 (2021) - [i21]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. CoRR abs/2106.10853 (2021) - [i20]Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric:
Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy. CoRR abs/2107.07446 (2021) - [i19]Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis:
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. CoRR abs/2108.01233 (2021) - [i18]Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis:
Robotic Lime Picking by Considering Leaves as Permeable Obstacles. CoRR abs/2108.13889 (2021) - [i17]Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius:
Illuminating Diverse Neural Cellular Automata for Level Generation. CoRR abs/2109.05489 (2021) - [i16]Heramb Nemlekar, Runyu Guan, Guanyang Luo, Satyandra K. Gupta, Stefanos Nikolaidis:
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks. CoRR abs/2111.06454 (2021) - [i15]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. CoRR abs/2112.03534 (2021) - 2020
- [j4]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. 9(2): 9:1-9:23 (2020) - [c31]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. AIIDE 2020: 151-158 - [c30]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
The Fair Contextual Multi-Armed Bandit. AAMAS 2020: 1810-1812 - [c29]Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis:
Learning from Demonstrations using Signal Temporal Logic. CoRL 2020: 2228-2242 - [c28]Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover:
Covariance matrix adaptation for the rapid illumination of behavior space. GECCO 2020: 94-102 - [c27]Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis:
Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates. HRI 2020: 299-308 - [c26]Rey Pocius, Naghmeh Zamani, Heather Culbertson, Stefanos Nikolaidis:
Communicating Robot Goals via Haptic Feedback in Manipulation Tasks. HRI (Companion) 2020: 591-593 - [c25]Matthew Rueben, Stefanos Nikolaidis, Maartje de Graaf, Elizabeth Phillips, Lionel Robert, David Sirkin, Minae Kwon, Sam Thellman:
Half Day Workshop on Mental Models of Robots. HRI (Companion) 2020: 658-659 - [c24]Seung Hee Yoon, Stefanos Nikolaidis:
Robot Learning in Mixed Adversarial and Collaborative Settings. IROS 2020: 9329-9336 - [c23]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
Fair Contextual Multi-Armed Bandits: Theory and Experiments. UAI 2020: 181-190 - [i14]Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis:
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. CoRR abs/2007.05674 (2020) - [i13]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. CoRR abs/2010.06627 (2020) - [i12]Matthew C. Fontaine, Stefanos Nikolaidis:
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. CoRR abs/2012.04283 (2020)
2010 – 2019
- 2019
- [c22]Thomas Weng, Leah Perlmutter, Stefanos Nikolaidis, Siddhartha S. Srinivasa, Maya Cakmak:
Robot Object Referencing through Legible Situated Projections. ICRA 2019: 8004-8010 - [c21]Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. IROS 2019: 1056-1063 - [c20]Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis:
Learning Collaborative Action Plans from YouTube Videos. ISRR 2019: 208-223 - [c19]Lauren Klein, Laurent Itti, Beth A. Smith, Marcelo R. Rosales, Stefanos Nikolaidis, Maja J. Mataric:
Surprise! Predicting Infant Visual Attention in a Socially Assistive Robot Contingent Learning Paradigm. RO-MAN 2019: 1-7 - [i11]Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. CoRR abs/1903.00636 (2019) - [i10]Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis:
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. CoRR abs/1907.00313 (2019) - [i9]Hejia Zhang, Stefanos Nikolaidis:
Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. CoRR abs/1911.10686 (2019) - [i8]Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover:
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space. CoRR abs/1912.02400 (2019) - [i7]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
Fair Contextual Multi-Armed Bandits: Theory and Experiments. CoRR abs/1912.08055 (2019) - 2018
- [j3]Stefanos Nikolaidis, Minae Kwon, Jodi Forlizzi, Siddhartha S. Srinivasa:
Planning with Verbal Communication for Human-Robot Collaboration. ACM Trans. Hum. Robot Interact. 7(3): 22:1-22:21 (2018) - [c18]Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh:
Human Trust in Robot Capabilities across Tasks. HRI (Companion) 2018: 241-242 - [c17]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. HRI 2018: 307-315 - [i6]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. CoRR abs/1801.04099 (2018) - 2017
- [b1]Stefanos Nikolaidis:
Mathematical Models of Adaptation in Human-Robot Collaboration. Carnegie Mellon University, USA, 2017 - [j2]Stefanos Nikolaidis, David Hsu, Siddhartha S. Srinivasa:
Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. 36(5-7): 618-634 (2017) - [c16]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. HRI 2017: 294-302 - [c15]Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. HRI 2017: 323-331 - [c14]Stefanos Nikolaidis, Siddhartha S. Srinivasa:
Modeling Human Adaptation in Repeated Collaborative Tasks. PETRA 2017: 246-247 - [i5]Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. CoRR abs/1701.07790 (2017) - [i4]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. CoRR abs/1701.07851 (2017) - [i3]Stefanos Nikolaidis, Minae Kwon, Jodi Forlizzi, Siddhartha S. Srinivasa:
Planning with Verbal Communication for Human-Robot Collaboration. CoRR abs/1706.04694 (2017) - [i2]Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017) - 2016
- [c13]Stefanos Nikolaidis, Anton Kuznetsov, David Hsu, Siddhartha S. Srinivasa:
Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model. HRI 2016: 75-82 - [c12]Stefanos Nikolaidis, Anca D. Dragan, Siddhartha S. Srinivasa:
Viewpoint-Based Legibility Optimization. HRI 2016: 271-278 - 2015
- [j1]Stefanos Nikolaidis, Przemyslaw A. Lasota, Ramya Ramakrishnan, Julie A. Shah:
Improved human-robot team performance through cross-training, an approach inspired by human team training practices. Int. J. Robotics Res. 34(14): 1711-1730 (2015) - [c11]Stefanos Nikolaidis, Ramya Ramakrishnan, Keren Gu, Julie A. Shah:
Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks. HRI 2015: 189-196 - 2014
- [c10]Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan, Julie A. Shah:
Learning Human Types from Demonstration. AAAI Fall Symposia 2014 - [i1]Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan, Julie A. Shah:
Efficient Model Learning for Human-Robot Collaborative Tasks. CoRR abs/1405.6341 (2014) - 2013
- [c9]Stefanos Nikolaidis, Julie A. Shah:
Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy. HRI 2013: 33-40 - [c8]Stefanos Nikolaidis, Przemyslaw A. Lasota, Gregory F. Rossano, Carlos Martínez, Thomas A. Fuhlbrigge, Julie A. Shah:
Human-robot collaboration in manufacturing: Quantitative evaluation of predictable, convergent joint action. ISR 2013: 1-6 - 2012
- [c7]Julie A. Shah, Been Kim, Stefanos Nikolaidis:
Human-Inspired Techniques for Human-Machine Team Planning. AAAI Fall Symposium: Human Control of Bioinspired Swarms 2012 - [c6]Stefanos Nikolaidis, Julie A. Shah:
Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach. Infotech@Aerospace 2012 - [c5]Ronald Wilcox, Stefanos Nikolaidis, Julie A. Shah:
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing. Robotics: Science and Systems 2012
2000 – 2009
- 2009
- [c4]Stefanos Nikolaidis, Tamio Arai:
Optimal arrangement of ceiling cameras for home service robots using genetic algorithms. RO-MAN 2009: 573-580 - 2008
- [c3]Ryuichi Ueda, Stefanos Nikolaidis, Akinobu Hayashi, Tamio Arai:
Global Pose Estimation of Multiple Cameras with Particle Filters. DARS 2008: 73-82 - [c2]Stefanos Nikolaidis, Ryuichi Ueda, Akinobu Hayashi, Tamio Arai:
Optimal camera placement considering mobile robot trajectory. ROBIO 2008: 1393-1396 - 2007
- [c1]Prachya Kamol, Stefanos Nikolaidis, Ryuichi Ueda, Tamio Arai:
RFID Based Object Localization System Using Ceiling Cameras with Particle Filter. FGCN (2) 2007: 37-42
Coauthor Index
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