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Trends and challenges in robot manipulation
Ecole Polytech Fed Lausanne, Learning Algorithms & Syst Lab, Lausanne, Switzerland..
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-2965-2953
2019 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 364, no 6446, p. 1149-+Article, review/survey (Refereed) Published
Abstract [en]

Dexterous manipulation is one of the primary goals in robotics. Robots with this capability could sort and package objects, chop vegetables, and fold clothes. As robots come to work side by side with humans, they must also become human-aware. Over the past decade, research has made strides toward these goals. Progress has come from advances in visual and haptic perception and in mechanics in the form of soft actuators that offer a natural compliance. Most notably, immense progress in machine learning has been leveraged to encapsulate models of uncertainty and to support improvements in adaptive and robust control. Open questions remain in terms of how to enable robots to deal with the most unpredictable agent of all, the human.

Place, publisher, year, edition, pages
American Association for the Advancement of Science , 2019. Vol. 364, no 6446, p. 1149-+
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-255314DOI: 10.1126/science.aat8414ISI: 000472175100030PubMedID: 31221831Scopus ID: 2-s2.0-85068153256OAI: oai:DiVA.org:kth-255314DiVA, id: diva2:1340972
Note

QC 20190807

Available from: 2019-08-07 Created: 2019-08-07 Last updated: 2019-08-07Bibliographically approved

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Kragic, Danica

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