Výsledky vyhledávání - "Interactive Robot Learning"

Foundational Models for Robotics need to be made Bio-Inspired

Autoři: Chen, Liming Nguyen, Sao Mai

Přispěvatelé: Chen, Liming Nguyen, Sao Mai

Zdroj: 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO). :126-133

Témata: Grounded Reasoning, Sparse Mixture of Experts (MoE), Self-Supervised Learning, Sensorimotor Integration, Bio-Inspired Robotics, Foundation Models for Robotics (FMRs), Intrinsic Motivation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Memory-Augmented Models, Embodied Chain-of-Thought (E-CoT), Embodied AI, Multimodal Learning, Interactive Robot Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05086677v1

The power of combined modalities in interactive robot learning

Autoři: Beierling, Helen Beierling, Robin Vollmer, Anna-Lisa

Zdroj: Front Robot AI
Frontiers in Robotics and AI, Vol 12 (2025)

Témata: Robotics and AI, reinforcement learning, multi-modal feedback, preference-based learning, interactive robot learning, learning from demonstration, QA75.5-76.95, human-robot interaction, scaffolding in robot learning, human-in-the-loop learning, Electronic computers. Computer science, TJ1-1570, Mechanical engineering and machinery

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/041264879dd140948adfd4ec3174fae2
https://pub.uni-bielefeld.de/record/3005949
https://doi.org/10.3389/frobt.2025.1598968

Uncovering Patterns in Humans that Teach Robots through Demonstrations and Feedback

Autoři: Konstantinos Christofi Kim Baraka

Zdroj: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. :332-336

Témata: Human-Interactive Robot Learning, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Learning from Demonstrations, Learning from Feedback, 0501 psychology and cognitive sciences, Human-in-the-loop Machine Learning, 02 engineering and technology, User Modeling

Přístupová URL adresa: https://research.vu.nl/en/publications/8f6ce800-270e-49c8-b33d-3f9041334fb8
https://hdl.handle.net/1871.1/8f6ce800-270e-49c8-b33d-3f9041334fb8
https://doi.org/10.1145/3610978.3640740

Using Proxemics as a Corrective Feedback Signal during Robot Navigation

Autoři: Adwitiya Mandal Kim Baraka

Zdroj: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. :732-736

Témata: Human-Interactive Robot Learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Proxemics, 02 engineering and technology, Navigation

Přístupová URL adresa: https://hdl.handle.net/1871.1/46a1cb2f-42eb-480f-aa24-bd41d9bc8465
https://doi.org/10.1145/3610978.3640746
https://research.vu.nl/en/publications/46a1cb2f-42eb-480f-aa24-bd41d9bc8465

2nd Workshop on Human-Interactive Robot Learning (HIRL)

Autoři: Reuth Mirsky Kim Baraka Taylor Kessler Faulkner a další

Zdroj: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. :947-949

Témata: Learning from human input, Interactive robot learning, Socially intelligent robots, Socially interactive learning

OrthographicNet: A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains: A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains

Autoři: S. Hamidreza Kasaei

Zdroj: IEEE/ASME Transactions on Mechatronics. 26:2910-2921

Témata: FOS: Computer and information sciences, Computer Science - Robotics, 3-D object perception, Computer Vision and Pattern Recognition (cs.CV), interactive robot learning, Computer Science - Computer Vision and Pattern Recognition, open-ended learning, Robotics (cs.RO)

Přístupová URL adresa: http://arxiv.org/pdf/1902.03057
http://arxiv.org/abs/1902.03057

Collaborative Programming of Conditional Robot Tasks

Autoři: Willibald, Christoph Eiband, Thomas Lee, Dongheui

Zdroj: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :5402-5409

Témata: Human-Robot Collaboration, Intuitive Programming, Learning from Demonstration, Programming by Demonstration, Interactive Robot Learning, Institut für Robotik und Mechatronik (ab 2013)

Popis souboru: application/pdf

Přístupová URL adresa: https://elib.dlr.de/139209/1/Collaborative_Robot_Programming.pdf
https://dblp.uni-trier.de/db/conf/iros/iros2020.html#WillibaldEL20
https://elib.dlr.de/139209/
https://elib.dlr.de/139209/
https://doi.org/10.1109/iros45743.2020.9341212
https://elib.dlr.de/139209/

Human-Interactive Robot Learning (HIRL)

Autoři: Mirsky, Reuth Baraka, Kim Faulkner, Taylor Kessler a další

Zdroj: 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). :1278-1280

Témata: Learning from human input, 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, Interactive robot learning, Socially intelligent robots, 02 engineering and technology, Socially interactive learning

Přístupová URL adresa: https://research.vu.nl/en/publications/7e7752b1-68e8-45c8-b324-1af11eabae0e
https://doi.org/10.1109/HRI53351.2022.9889551
https://hdl.handle.net/1871.1/7e7752b1-68e8-45c8-b324-1af11eabae0e

Human-Centred Approaches to Human-in-the-Loop Robot Learning

Autoři: Phaijit, Lina

Témata: human-robot interaction, explainable artificial intelligence, 460806 Human-computer interaction, 460205 Intelligent robotics, interactive robot learning, artificial intelligence, augmented reality

Supplementary file 1_The power of combined modalities in interactive robot learning.pdf

Autoři: Helen Beierling Robin Beierling Anna-Lisa Vollmer

Témata: Artificial Intelligence and Image Processing, human-robot interaction, human-in-the-loop learning, reinforcement learning, interactive robot learning, multi-modal feedback, learning from demonstration, preference-based learning, scaffolding in robot learning

Relation: https://figshare.com/articles/dataset/Supplementary_file_1_The_power_of_combined_modalities_in_interactive_robot_learning_pdf/29591378

Dostupnost: https://doi.org/10.3389/frobt.2025.1598968.s001
https://figshare.com/articles/dataset/Supplementary_file_1_The_power_of_combined_modalities_in_interactive_robot_learning_pdf/29591378

Supplementary file 2_The power of combined modalities in interactive robot learning.pdf

Autoři: Helen Beierling Robin Beierling Anna-Lisa Vollmer

Témata: Artificial Intelligence and Image Processing, human-robot interaction, human-in-the-loop learning, reinforcement learning, interactive robot learning, multi-modal feedback, learning from demonstration, preference-based learning, scaffolding in robot learning

Relation: https://figshare.com/articles/dataset/Supplementary_file_2_The_power_of_combined_modalities_in_interactive_robot_learning_pdf/29591375

Dostupnost: https://doi.org/10.3389/frobt.2025.1598968.s002
https://figshare.com/articles/dataset/Supplementary_file_2_The_power_of_combined_modalities_in_interactive_robot_learning_pdf/29591375

Learning Daily-Life Tasks based on Labeling of Actions and Conditions by Human Demonstration and Dialog / 人間の実演と対話による動作と条件のラベル付けに基づく日常生活タスクの教示が可能なロボットシステム

Autoři: Hideaki ITO Iori YANOKURA Kei OKADA a další

Zdroj: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2019, :1-K04

Communication in Robot Learning : usage of the Combined Task and Social Channelfor Action Learning ; Communication dans l'apprentissage robotique : utilisation du canal de tâches et social combiné pour l'apprentissage d'actions

Autoři: Bied, Manuel Institut des Systèmes Intelligents et de Robotique (ISIR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) a další

Přispěvatelé: Bied, Manuel Institut des Systèmes Intelligents et de Robotique (ISIR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) a další

Zdroj: https://theses.hal.science/tel-03711668 ; Machine Learning [cs.LG]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS009⟩.

Témata: Interactive robot learning, Legibility, Sensorimotor communication, Learning-from-demonstration, Reinforcement learning, Human-robot interaction, Interaction homme-robot, Apprentissage par renforcement, Apprentissage robotique interactif, Apprentissage à partir de la démonstration, Communication sensorimotrice, Lisibilité, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: NNT: 2022SORUS009

Dostupnost: https://theses.hal.science/tel-03711668
https://theses.hal.science/tel-03711668v2/document
https://theses.hal.science/tel-03711668v2/file/BIED_Christian_Manuel_these_2022.pdf

Communication in Robot Learning: Usage of the Combined Task and Social Channel for Action Learning ; Communication dans l'apprentissage robotique : utilisation du canal de tâches et social combiné pour l'apprentissage d'actions

Autoři: Bied, Manuel Sorbonne Université (SU) Institut des Systèmes Intelligents et de Robotique (ISIR) a další

Přispěvatelé: Bied, Manuel Sorbonne Université (SU) Institut des Systèmes Intelligents et de Robotique (ISIR) a další

Zdroj: https://hal.science/tel-03708044 ; Robotics [cs.RO]. Sorbonne Université UPMC; ED391, 2022. English. ⟨NNT : ⟩.

Témata: human-robot interaction, reinforcement learning, interactive robot learning, learning-from-demonstration, sensorimotor communication, legibility, interaction homme-robot, apprentissage par renforcement, apprentissage robotique interactif, apprentissage à partir de la dé- monstration, communication sensorimotrice, lisibilité, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]

Dostupnost: https://hal.science/tel-03708044
https://hal.science/tel-03708044v1/document
https://hal.science/tel-03708044v1/file/thesis_BIED.pdf

Architecture robotique et cognitive pour l'apprentissage de tâches en interaction avec l'humain. Une application pour la collaboration homme/robot dans l'Industrie 4.0. ; Cognitive robotic architecture for human-aware interactive task learning. An application to human-robot collaboration in Industry 4.0.

Autoři: Helenon, François Paris, HESAM Gibaru, Olivier

Přispěvatelé: Helenon, François Paris, HESAM Gibaru, Olivier

Témata: Apprentissage robotique en intéraction, Apprentissage de tâches en intéraction, Architecture cognitive hybride, Apprendre par démontrations humaines, Robotique Collaborative, Interactive Robot Learning, Interactive Task Learning, Hybrid cognitive architecture, Learning from human demonstrations, Collaborative robotics

Relation: http://www.theses.fr/2022HESAE007/document

Dostupnost: http://www.theses.fr/2022HESAE007/document

Cognitive robotic architecture for human-aware interactive task learning. An application to human-robot collaboration in Industry 4.0. ; Architecture robotique et cognitive pour l'apprentissage de tâches en interaction avec l'humain. Une application pour la collaboration homme/robot dans l'Industrie 4.0.

Autoři: Helenon, François Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN) Arts et Métiers Sciences et Technologies a další

Přispěvatelé: Helenon, François Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN) Arts et Métiers Sciences et Technologies a další

Zdroj: https://pastel.hal.science/tel-03669479 ; Traitement du signal et de l'image [eess.SP]. HESAM Université, 2022. Français. ⟨NNT : 2022HESAE007⟩.

Témata: Collaborative robotics, Learning from human demonstrations, Hybrid cognitive architecture, Interactive Task Learning, Interactive Robot Learning, Robotique Collaborative, Apprendre par démontrations humaines, Architecture cognitive hybride, Apprentissage de tâches en intéraction, Apprentissage robotique en intéraction, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Relation: NNT: 2022HESAE007

Dostupnost: https://pastel.hal.science/tel-03669479
https://pastel.hal.science/tel-03669479v1/document
https://pastel.hal.science/tel-03669479v1/file/107319_HELENON_2022_archivage.pdf

Communication in Robot Learning : usage of the Combined Task and Social Channelfor Action Learning

Autoři: Bied, Manuel STAR, ABES

Přispěvatelé: Bied, Manuel STAR, ABES

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Interaction homme-robot, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Interactive robot learning, Legibility, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Apprentissage robotique interactif, Communication sensorimotrice, Learning-from-demonstration, Lisibilité, Apprentissage par renforcement, Reinforcement learning, Sensorimotor communication, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Human-robot interaction, Apprentissage à partir de la démonstration

Popis souboru: application/pdf

Přístupová URL adresa: https://theses.hal.science/tel-03711668v2

Cognitive robotic architecture for human-aware interactive task learning. An application to human-robot collaboration in Industry 4.0

Autoři: Helenon, François STAR, ABES

Přispěvatelé: Helenon, François STAR, ABES

Témata: Hybrid cognitive architecture, Collaborative robotics, Robotique Collaborative, Apprentissage de tâches en intéraction, Architecture cognitive hybride, Interactive Task Learning, Apprendre par démontrations humaines, Apprentissage robotique en intéraction, Learning from human demonstrations, Interactive Robot Learning, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis souboru: application/pdf

Přístupová URL adresa: https://pastel.hal.science/tel-03669479v1

Robot Behavior Generation and Human Behavior Understanding in Natural Human-Robot Interaction ; Génération du Comportement du Robot et Compréhension du Comportement Humain dans L'interaction Naturelle Humain-Robot

Autoři: Yu, Chuang Unité d'Informatique et d'Ingénierie des Systèmes (U2IS) École Nationale Supérieure de Techniques Avancées (ENSTA Paris) a další

Přispěvatelé: Yu, Chuang Unité d'Informatique et d'Ingénierie des Systèmes (U2IS) École Nationale Supérieure de Techniques Avancées (ENSTA Paris) a další

Zdroj: https://theses.hal.science/tel-03313805 ; Human-Computer Interaction [cs.HC]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAE009⟩.

Témata: Natural human-Robot interaction, Multimodal emotion recognition, Robot gesture generation, Robot face action generation, Interactive robot learning, Interaction naturelle homme-Robot, Reconnaissance multimodale des émotions, Génération de gestes de robot, Génération d'action de visage de robot, Apprentissage interactif de robot, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: NNT: 2021IPPAE009

Dostupnost: https://theses.hal.science/tel-03313805
https://theses.hal.science/tel-03313805v1/document
https://theses.hal.science/tel-03313805v1/file/97411_YU_2021_archivage.pdf

Teaching Robots Behaviors Using Spoken Language in Rich and Open Scenarios ; Enseignement de comportements aux robots par le langage parlé dans des scénarios riches et ouverts

Autoři: Paléologue, Victor Institut des Systèmes Intelligents et de Robotique (ISIR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) a další

Přispěvatelé: Paléologue, Victor Institut des Systèmes Intelligents et de Robotique (ISIR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) a další

Zdroj: https://theses.hal.science/tel-03011393 ; Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS458⟩.

Témata: Human-robot interaction, Interactive robot learning, Social robotics, Interaction homme-robot, Systèmes cognitifs, Apprentissage automatique, Ontologie, Apprentissage interactif, Robot autonome, Robotique sociale, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Relation: NNT: 2019SORUS458

Dostupnost: https://theses.hal.science/tel-03011393
https://theses.hal.science/tel-03011393v2/document
https://theses.hal.science/tel-03011393v2/file/PALEOLOGUE_Victor_2019.pdf