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Robotics and Autonomous Systems
JournalCitation impact & published research
Robotics and Autonomous Systems is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 5,471 works, 189,090 citations, an h-index of 176 and an APC (USD) of 3,020.
5,471
Works
189,090
Citations
176
h-index
3,020
APC (USD)
IDs:OpenAlex
What are the most-cited papers on Robotics and Autonomous Systems?
ScholarIQmost cited works
Variable impedance actuators: A review
Bram Vanderborght, A. Albu-Schaeffer, Antonio Bicchi, Etienne Burdet, Darwin G. Caldwell, Raffaella Carloni, Manuel G. Catalano, Oliver Eiberger, Werner Friedl, Gowrishankar Ganesh, Manolo Garabini, Markus Grebenstein, Giorgio Grioli, Sami Haddadin, Hannes Höppner, Amir Jafari, Matteo Laffranchi, Dirk Lefeber, Florian Petit, Stefano Stramigioli, Nikos G. Tsagarakis, Michaël Van Damme, Ronald Van Ham, Ludo C. Visser, Sebastian Wolf
Robotics and Autonomous Systems. 2013991 CitationsOPEN ACCESS
Developments in hardware systems of active upper-limb exoskeleton robots: A review
R. A. R. C. Gopura, D. S. V. Bandara, Kazuo Kiguchi, George K. I. Mann
Robotics and Autonomous Systems. 2015476 Citations
A survey of Tactile Human–Robot Interactions
Brenna Argall, Aude Billard
Robotics and Autonomous Systems. 2010349 CitationsOPEN ACCESS
Teaching and learning of robot tasks via observation of human performance
Rüdiger Dillmann
Robotics and Autonomous Systems. 2004306 Citations
Development of a 3DOF mobile exoskeleton robot for human upper-limb motion assist
Kazuo Kiguchi, Mohammad Habibur Rahman, Makoto SASAKI, Kenbu Teramoto
Robotics and Autonomous Systems. 2007178 Citations
Related on ScholarIQ
Variable impedance actuators: A review
Paper
Developments in hardware systems of active upper-limb exoskeleton robots: A review
Paper
A survey of Tactile Human–Robot Interactions
Paper
Teaching and learning of robot tasks via observation of human performance
Paper
Development of a 3DOF mobile exoskeleton robot for human upper-limb motion assist
Paper
Real-time navigation of mobile robots in problems of border patrolling and avoiding collisions with moving and deforming obstacles
Paper