| Literature DB >> 33323524 |
HeeSun Choi1, Cindy Crump2, Christian Duriez3, Asher Elmquist4, Gregory Hager5, David Han6, Frank Hearl7, Jessica Hodgins8, Abhinandan Jain9, Frederick Leve10, Chen Li11, Franziska Meier12, Dan Negrut13, Ludovic Righetti14,15, Alberto Rodriguez16, Jie Tan17, Jeff Trinkle18.
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.Entities:
Keywords: controls; design; machine learning; robotics; simulation
Year: 2021 PMID: 33323524 PMCID: PMC7817170 DOI: 10.1073/pnas.1907856118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205