The Role of Physics-Based Simulators in Robotics
| Autor: | C. Karen Liu, Dan Negrut |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Robotic control business.industry 020207 software engineering Robotics 02 engineering and technology Physics based 020901 industrial engineering & automation Automotive Engineering 0202 electrical engineering electronic engineering information engineering Leverage (statistics) Artificial intelligence Software engineering business |
| Zdroj: | Annual Review of Control, Robotics, and Autonomous Systems. 4:35-58 |
| ISSN: | 2573-5144 |
| Popis: | Physics-based simulation provides an accelerated and safe avenue for developing, verifying, and testing robotic control algorithms and prototype designs. In the quest to leverage machine learning for developing AI-enabled robots, physics-based simulation can generate a wealth of labeled training data in a short amount of time. Physics-based simulation also creates an ideal proving ground for developing intelligent robots that can both learn from their mistakes and be verifiable. This article provides an overview of the use of simulation in robotics, emphasizing how robots (with sensing and actuation components), the environment they operate in, and the humans they interact with are simulated in practice. It concludes with an overview of existing tools for simulation in robotics and a short discussion of aspects that limit the role that simulation plays today in intelligent robot design. |
| Databáze: | OpenAIRE |
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