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1دورية أكاديمية
المؤلفون: Tjasa Kunavar, Marko Jamšek, Edwin Johnatan Avila-Mireles, Elmar Rueckert, Luka Peternel, Jan Babič
المصدر: Sensors, Vol 24, Iss 4, p 1231 (2024)
مصطلحات موضوعية: motor learning, skill learning, human–robot interaction, visuomotor perturbation, motor teaching, tracking task, Chemical technology, TP1-1185
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Linus Nwankwo, Clemens Fritze, Konrad Bartsch, Elmar Rueckert
المصدر: HardwareX, Vol 14, Iss , Pp e00426- (2023)
مصطلحات موضوعية: Mobile robot, ROS, open-source robot, differential-drive robot, autonomous robot, Science (General), Q1-390
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Rebecca Herzog, Till M. Berger, Martje G. Pauly, Honghu Xue, Elmar Rueckert, Alexander Münchau, Tobias Bäumer, Anne Weissbach
المصدر: Frontiers in Neuroscience, Vol 16 (2022)
مصطلحات موضوعية: cerebellum, plasticity, tRNS, tACS, tDCS, TMS, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
المصدر: Frontiers in Robotics and AI, Vol 8 (2021)
مصطلحات موضوعية: probabilistic movement primitives, human motion analysis, finger tapping motion, machine learning, transcranial current stimulation, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Mehmet Ege Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E. Miller, Elmar Rueckert, Philipp Beckerle
المصدر: Advanced Intelligent Systems, Vol 3, Iss 7, Pp n/a-n/a (2021)
مصطلحات موضوعية: human–robot interaction, movement primitives, shared autonomy, transfer learning, user experience, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2640-4567
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6دورية أكاديمية
المؤلفون: Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
المصدر: Applied Sciences, Vol 12, Iss 6, p 3153 (2022)
مصطلحات موضوعية: deep reinforcement learning, automatic curriculum learning, autonomous navigation, multi-modal sensor perception, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
وصف الملف: electronic resource
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7
المؤلفون: Sahar Keshavarz, Petr Vita, Elmar Rueckert, Ronald Ortner, Gerhard Thonhauser
المصدر: Day 2 Wed, January 18, 2023.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cc833775d9ca422d64a1a0e521cc7257
https://doi.org/10.2118/214465-ms -
8
المؤلفون: Linus Nwankwo, Elmar Rueckert
المصدر: Advances in Service and Industrial Robotics ISBN: 9783031326059
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4da86e0a2ba57cb8a9bb353b5870f7d7
https://doi.org/10.1007/978-3-031-32606-6_22 -
9
المؤلفون: Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann, Elmar Rueckert
المصدر: Montanuniversität Leoben
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89dcb3b8537565865b9a6d0582b66acb
https://doi.org/10.1109/humanoids53995.2022.10000201 -
10
المؤلفون: Elmar Rueckert, Jan Babič, Tjasa Kunavar, Urban Bobek, Marko Jamšek
المصدر: IEEE Robotics and Automation Letters. 6:4417-4424
مصطلحات موضوعية: 0209 industrial biotechnology, Control and Optimization, Computer science, Mechanical Engineering, Biomedical Engineering, Probabilistic logic, 02 engineering and technology, Kinematics, Computer Science Applications, Exoskeleton, Human-Computer Interaction, 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Artificial Intelligence, Control and Systems Engineering, Control theory, Task analysis, Trajectory, Robot, Computer Vision and Pattern Recognition, Simulation, Haptic technology
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5170eb03718ccb73fffac9c631e63e73
https://doi.org/10.1109/lra.2021.3068892