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Journal article
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
Proceedings of the National Academy of Sciences - PNAS, v 118(1), p1
05 Jan 2021
PMID: 33323524
Abstract
The last five years marked a surge in interest for and use of smart robots, which operate in dynamic and unstructured environments and might interact with humans. We posit that well-validated computer simulation can provide a virtual proving ground that in many cases is instrumental in understanding safely, faster, at lower costs, and more thoroughly how the robots of the future should be designed and controlled for safe operation and improved performance. Against this backdrop, we discuss how simulation can help in robotics, barriers that currently prevent its broad adoption, and potential steps that can eliminate some of these barriers. The points and recommendations made concern the following simulation-in-robotics aspects: simulation of the dynamics of the robot; simulation of the virtual world; simulation of the sensing of this virtual world; simulation of the interaction between the human and the robot; and, in less depth, simulation of the communication between robots. This Perspectives contribution summarizes the points of view that coalesced during a 2018 National Science Foundation/Department of Defense/National Institute for Standards and Technology workshop dedicated to the topic at hand. The meeting brought together participants from a range of organizations, disciplines, and application fields, with expertise at the intersection of robotics, machine learning, and physics-based simulation.
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Details
- Title
- On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
- Creators
- HeeSun Choi - Texas Tech UniversityCindy Crump - United States Army Medical Research and Development CommandChristian Duriez - French Institute for Research in Computer Science and AutomationAsher Elmquist - University of Wisconsin–MadisonGregory Hager - Johns Hopkins UniversityDavid Han - DEVCOM Army Research LaboratoryFrank Hearl - National Institute for Occupational Safety and HealthJessica Hodgins - Carnegie Mellon UniversityAbhinandan Jain - Jet Propulsion LabFrederick Leve - Dynamical Systems and Control Theory Division, Air Force Office of Scientific Research, Arlington, VA 22203.Chen Li - Johns Hopkins UniversityFranziska Meier - Max Planck Institute for Intelligent SystemsDan Negrut - University of Wisconsin–MadisonLudovic Righetti - Electrical and Computer Engineering Department, New York University, Brooklyn, NY, 11201Alberto Rodriguez - Massachusetts Institute of TechnologyJie Tan - GoogleJeff Trinkle - Lehigh University
- Publication Details
- Proceedings of the National Academy of Sciences - PNAS, v 118(1), p1
- Publisher
- PNAS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Marketing
- Web of Science ID
- WOS:000607270100002
- Scopus ID
- 2-s2.0-85098229577
- Other Identifier
- 991019169675404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Robotics