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Foundation Models in Robotics: Applications, Challenges, and the Future
The international journal of robotics research, 2023We survey applications of pretrained foundation models in robotics. Traditional deep learning models in robotics are trained on small datasets tailored for specific tasks, which limits their adaptability across diverse applications.
Roya Firoozi+14 more
semanticscholar +1 more source
Large Language Models for Robotics: A Survey
arXiv.org, 2023The human ability to learn, generalize, and control complex manipulation tasks through multi-modality feedback suggests a unique capability, which we refer to as dexterity intelligence.
Fanlong Zeng+4 more
semanticscholar +1 more source
International journal of human resources management, 2021
Although academic production in intelligent automation (e.g. artificial intelligence, robotics) has grown rapidly, we still lack a comprehensive understanding of the impacts of the utilization of these technologies in human resource management (HRM) at ...
D. Vrontis+5 more
semanticscholar +1 more source
Although academic production in intelligent automation (e.g. artificial intelligence, robotics) has grown rapidly, we still lack a comprehensive understanding of the impacts of the utilization of these technologies in human resource management (HRM) at ...
D. Vrontis+5 more
semanticscholar +1 more source
CACM, 2002
Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.
S. Thrun
semanticscholar +1 more source
Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.
S. Thrun
semanticscholar +1 more source
Autonomous Military Robotics: Risk, Ethics, and Design
, 2008: Imagine the face of warfare with autonomous robotics: Instead of our soldiers returning home in flag-draped caskets to heartbroken families, autonomous robots-mobile machines that can make decisions, such as to fire upon a target, without human ...
Patrick Lin, G. Bekey, Keith Abney
semanticscholar +1 more source
Partially Observable Markov Decision Processes and Robotics
Annu. Rev. Control. Robotics Auton. Syst., 2022Planning under uncertainty is critical to robotics. The partially observable Markov decision process (POMDP) is a mathematical framework for such planning problems.
H. Kurniawati
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From high-touch to high-tech: COVID-19 drives robotics adoption
Tourism Geographies, 2020Global economic and social life has been severely challenged since the World Health Organization (WHO) declared the COVID-19 disease a pandemic. Travel, tourism and hospitality, in particular, has been massively impacted by the lockdowns used to maintain
Zhanjing Zeng, Po-Ju Chen, A. Lew
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, 1998
From the Publisher: foreword by Michael Arbib "Hard to put down and necessary to know -- Arkin's book provides a comprehensive intellectual history of robots and a thorough compilation of robotic organizational paradigms from reflexes through social ...
R. Arkin
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From the Publisher: foreword by Michael Arbib "Hard to put down and necessary to know -- Arkin's book provides a comprehensive intellectual history of robots and a thorough compilation of robotic organizational paradigms from reflexes through social ...
R. Arkin
semanticscholar +1 more source
Soft robotics: Technologies and systems pushing the boundaries of robot abilities
Science Robotics, 2016Soft materials and deformable structures have given robots the ability to stretch, squash, climb, and morph, with potential for biodegradability and self-healing.
B. Mazzolai, M. Cianchetti
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