The future of open source frameworks and cloud simulation for robots and AI systems development
Who is this presentation for?
- Developers, managers, and executives
As robots and AI systems become more prevalent in enterprise, industrial, and home settings, there’s an increasing need for well-maintained, reliable, and secure development tools and frameworks for the next-generation production-grade robots and systems. Meanwhile, simulation is becoming critical for validation and verification of such systems. The next version of the widely adopted Robot Operating System (ROS) is being designed and developed with these use cases in mind. Scaled parallel simulations via cloud infrastructure are a key tool developers can utilize to speed development and deployment of critical systems.
Join Cam Buscaron to explore the enhancements and features made in ROS2 and learn how to leverage large-scale cloud simulation and the ROS to build next-generation applications.
What you'll learn
- Learn how simulation and open source software can speed up the development and validation of robots and AI systems
Amazon Web Services
Cam Buscaron is a principal open source technologist and strategist at AWS, where he works with the robotics developer community and ecosystem to foster cloud innovation and widespread adoption of open source tools. He previously contributed to the design and development of a large-scale hardware-in-the-loop simulation system for self-driving cars and warehouse robots, built on ROS.
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