Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Jochen J. Steil"'
Autor:
Marc Kilian Klankers, Adrian Rudloff, Pouya Mohammadi, Niclas Hoffmann, Seyed Milad Mir Latifi, Ramazan Gökay, Rajal Nagwekar, Robert Weidner, Jochen J. Steil
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2481 (2024)
Assistive devices like exoskeletons undergo extensive testing not least because of their close interaction with humans. Conducting user studies is a time-consuming process that demands expert knowledge, and it is accompanied by challenges such as low
Externí odkaz:
https://doaj.org/article/4d3701c921024f05b345f5d5110017a6
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Shape-sensing in real-time is a key requirement for the development of advanced algorithms for concentric tube continuum robots when safe interaction with the environment is important e.g., for path planning, advanced control, and human-machine inter
Externí odkaz:
https://doaj.org/article/cbb810752a5d4d57a82b71fc93adaeb8
Autor:
Jeffrey F. Queißer, Jochen J. Steil
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Modern robotic applications create high demands on adaptation of actions with respect to variance in a given task. Reinforcement learning is able to optimize for these changing conditions, but relearning from scratch is hardly feasible due to the hig
Externí odkaz:
https://doaj.org/article/bfe4fa794ede43e79bac881a80525a51
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
An ideal physical human–robot interaction (pHRI) should offer the users robotic systems that are easy to handle, intuitive to use, ergonomic and adaptive to human habits and preferences. But the variance in the user behavior is often high and rathe
Externí odkaz:
https://doaj.org/article/c92081787bf24bf4bd6e55493c708082
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:1367-1377
A major challenge for online and data-driven model learning in robotics is the high sample-complexity. This hinders its efficiency and practical feasibility for lifelong learning, in particular for developmental robots that autonomously bootstrap the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87033e848e230817376d9b1cdd0a7be7
https://doi.org/10.1109/tcds.2020.3001633
https://doi.org/10.1109/tcds.2020.3001633
Autor:
Pouya Mohammadi, Michael Mistry, Niels Dehio, Jochen J. Steil, Joshua Smith, Dennis Leroy Wigand
Publikováno v:
The International Journal of Robotics Research. 41:68-84
Robotics research into multi-robot systems so far has concentrated on implementing intelligent swarm behavior and contact-less human interaction. Studies of haptic or physical human-robot interaction, by contrast, have primarily focused on the assist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::114a7c99114f468fd0a01599cbf19d50
https://doi.org/10.1177/02783649211053650
https://doi.org/10.1177/02783649211053650
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 2:619-630
Concentric Tube Continuum Robots are among the smallest and most flexible instruments in development for minimally invasive surgery, thereby enabling operations in areas within the human body that are difficult to reach. Unfortunately, integrating st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580d88f793b9007883490ed1e23d9789
https://doi.org/10.1109/tmrb.2020.3034258
https://doi.org/10.1109/tmrb.2020.3034258
Publikováno v:
ESANN 2022 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15909143ce8f1b1c52a65664577176b0
https://doi.org/10.14428/esann/2022.es2022-100
https://doi.org/10.14428/esann/2022.es2022-100
Autor:
Enrico Mingo Hoffman, Pouya Mohammadi, Martin A. Giese, Milad S. Malekzadeh, Nikos G. Tsagarakis, Jochen J. Steil, Niels Dehio
Publikováno v:
IEEE Robotics & Automation Magazine. 26:83-93
Humanoids fascinate us through their anthropomorphic appearance, high dexterity, and potential to work in human-tailored environments and interact with humans in novel applications. In our research, we promote two real-world applications in physiothe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c09bd59d0809876153bcd330d7e305
https://doi.org/10.1109/mra.2019.2940970
https://doi.org/10.1109/mra.2019.2940970
Publikováno v:
Frontiers in robotics and AI 8 (2021) 734033.-doi: 10.3389/frobt.2021.734033--Front Robot AI--http://www.bibliothek.uni-regensburg.de/ezeit/?2781824--http://www.frontiersin.org/Robotics_and_AI--https://www.ncbi.nlm.nih.gov/pmc/journals/3976/--2296-9144--2296-9144
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Shape-sensing in real-time is a key requirement for the development of advanced algorithms for concentric tube continuum robots when safe interaction with the environment is important e.g., for path planning, advanced control, and human-machine inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb1d04985b0822f17b2362ba347b1a1
http://publikationsserver.tu-braunschweig.de/get/70389
http://publikationsserver.tu-braunschweig.de/get/70389
