Výsledky vyhledávání - "Data Sets for Robot Learning"

Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation

Autoři: Lu, Haofei Dong, Yifei Weng, Zehang a další

Zdroj: IEEE Robotics and Automation Letters. 10(11):11880-11887

Témata: Data Sets for Robot Learning, Dexterous Manipulation, Grasping

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-371629
https://doi.org/10.1109/LRA.2025.3614051

Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model

Autoři: Gabriel Jimenez-Perera Brayan Valencia-Vidal Niceto R. Luque a další

Zdroj: IEEE Robotics and Automation Letters. 10:11022-11029

Témata: Distributed databases, Collaborative robots, Data sets for robot learning, Deep learning methods, Intellectual property, Data models, Federated learning, Trajectory, Training, Servers, Robots, Data privacy

Přístupová URL adresa: https://hdl.handle.net/10481/106390

WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments

Autoři: Kavisha Vidanapathirana Joshua Knights Stephen Hausler a další

Zdroj: The International Journal of Robotics Research. 44:532-549

Témata: FOS: Computer and information sciences, Computer Science - Robotics, performance evaluation and benchmarking, Computer Vision and Pattern Recognition (cs.CV), 11. Sustainability, Computer Science - Computer Vision and Pattern Recognition, data sets for robotic vision, 15. Life on land, data sets for robot learning, Semantic scene understanding, Robotics (cs.RO)

Přístupová URL adresa: http://arxiv.org/abs/2312.15364

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

Autoři: Ji Ma Hongming Dai Yao Mu a další

Zdroj: IEEE Robotics and Automation Letters. 9:7389-7396

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Data sets for robot learning, Computer Vision and Pattern Recognition (cs.CV), 11. Sustainability, Computer Science - Computer Vision and Pattern Recognition, Embodied AI, Zero-shot object navigation, Semantic scene understanding, Robotics (cs.RO), Data sets for robotic vision

Přístupová URL adresa: http://arxiv.org/abs/2402.19007

Action-Inclusive Multi-Future Prediction Using a Generative Model in Human-Related Scenes for Mobile Robots

Autoři: Chenfei Xu Huthaifa Ahmad Yuya Okadome a další

Zdroj: IEEE Access, Vol 13, Pp 167034-167044 (2025)

Témata: Data sets for robot learning, deep learning methods, human-aware motion planning, human–robot interaction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11170425/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/395286f15f4741f1af442fdfda72aedb

Race Against the Machine: A Fully-Annotated, Open-Design Dataset of Autonomous and Piloted High-Speed Flight

Autoři: Michael Bosello Davide Aguiari Yvo Keuter a další

Zdroj: IEEE Robotics and Automation Letters. 9:3799-3806

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Aerial systems: perception and autonomy, data sets for robot learning, data sets for robotic vision, Robotics (cs.RO)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2311.02667
https://ieeexplore.ieee.org/document/10452776
https://hdl.handle.net/11585/967925
https://doi.org/10.1109/lra.2024.3371288

Benchmarking the Sim-to-Real Gap in Cloth Manipulation

Autoři: David Blanco-Mulero Oriol Barbany Gokhan Alcan a další

Přispěvatelé: David Blanco-Mulero Oriol Barbany Gokhan Alcan a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Robotics and Automation Letters

Témata: FOS: Computer and information sciences, Benchmark testing, Computer Science - Machine Learning, Data sets for robot learning, bimanual manipulation, Fabrics, Àrees temàtiques de la UPC::Informàtica::Robòtica, Computer Vision and Pattern Recognition (cs.CV), Trajectory, Computer Science - Computer Vision and Pattern Recognition, deformable object manipulation, Intelligent robots, Dynamics, Machine Learning (cs.LG), Manipulators, Computer Science - Robotics, Manipulators (Mechanism), Task analysis, Engines, Manipulator dynamics, Robots, Robotics (cs.RO), Manipuladors (Mecanismes)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2310.09543
https://hdl.handle.net/2117/408483
https://doi.org/10.1109/lra.2024.3360814
https://aaltodoc.aalto.fi/handle/123456789/126880

Multimodal Detection and Classification of Robot Manipulation Failures

Autoři: Inceoglu, Arda Aksoy, Eren Sariel, Sanem

Zdroj: IEEE Robotics and Automation Letters. 9(2):1396-1403

Témata: Robot sensing systems, Robots, Task analysis, Monitoring, Hidden Markov models, Collision avoidance, Real-time systems, Deep learning methods, data sets for robot learning, failure detection and recovery, sensor fusion

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52942

AGOD-Grasp: an Automatically Generated Object Dataset for Benchmarking and Training Robotic Grasping Algorithms

Autoři: Andries, Mihai Fleytoux, Yoann Ivaldi, Serena a další

Přispěvatelé: Andries, Mihai Fleytoux, Yoann Ivaldi, Serena a další

Zdroj: https://inria.hal.science/hal-03983079 ; 2025.

Témata: Grasping object set, Data-driven grasping, Robotic grasping, Dataset, Data Sets for Robot Learning, Performance Evaluation and Benchmarking, Grasping, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]

Dostupnost: https://inria.hal.science/hal-03983079
https://inria.hal.science/hal-03983079v3/document
https://inria.hal.science/hal-03983079v3/file/Article_HEAP_object_set.pdf

AGOD-Grasp: an Automatically Generated Object Dataset for benchmarking and training robotic grasping algorithms

Autoři: Andries, Mihai Fleytoux, Yoann Ivaldi, Serena a další

Přispěvatelé: Andries, Mihai Fleytoux, Yoann Ivaldi, Serena a další

Zdroj: https://inria.hal.science/hal-03983079 ; 2023.

Témata: Grasping object set, Data-driven grasping, Robotic grasping, Dataset, Data Sets for Robot Learning, Performance Evaluation and Benchmarking, Grasping, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: hal-03983079; https://inria.hal.science/hal-03983079; https://inria.hal.science/hal-03983079v2/document; https://inria.hal.science/hal-03983079v2/file/HEAP_object_set_paper.pdf

Dostupnost: https://inria.hal.science/hal-03983079
https://inria.hal.science/hal-03983079v2/document
https://inria.hal.science/hal-03983079v2/file/HEAP_object_set_paper.pdf

DSEC: A Stereo Event Camera Dataset for Driving Scenarios

Autoři: Gehrig, Mathias Aarents, Willem Gehrig, Daniel a další

Zdroj: IEEE Robotics and Automation Letters, 6 (3)

Témata: Data sets for robotic vision, data sets for robot learning, computer vision for transportation

Relation: info:eu-repo/semantics/altIdentifier/wos/000642765100004; http://hdl.handle.net/20.500.11850/494967

Dostupnost: https://hdl.handle.net/20.500.11850/494967

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

Autoři: Ma, Ji Dai, Hongming Mu, Yao a další

Témata: Data sets for robot learning, Data sets for robotic vision, Embodied AI, Semantic scene understanding, Zero-shot object navigation, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-141291
https://doi.org/10.1109/LRA.2024.3426381
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2377-3766&rft.volume=9&rft.issue=9&rft.date=2024&rft.spage=7389&rft.aulast=Ma&rft.aufirst=Ji&rft.atitle=DOZE%3A+A+Dataset+for+Open-Vocabulary+Zero-Shot+Object+Navigation+in+Dynamic+Environments&rft.title=IEEE+Robotics+and+Automation+Letters
http://www.scopus.com/record/display.url?eid=2-s2.0-85198295293&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001272195500002

Exploring the Needle Tip Interaction Force with Retinal Tissue Deformation in Vitreoretinal Surgery.

Autoři: Pannek S Dehghani S Sommersperger M a další

Zdroj: IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation [IEEE Int Conf Robot Autom] 2024 May; Vol. 2024, pp. 16999-17005. Date of Electronic Publication: 2024 Aug 08.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: IEEE Service Center Country of Publication: United States NLM ID: 101518638 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2152-4092 (Print) Linking ISSN: 21548080 NLM ISO Abbreviation: IEEE Int Conf Robot Autom Subsets: PubMed not MEDLINE