Simulation is used in a variety of fields, such as robotics, self-driving vehicles, finance, and even by surgeons. This presentation gives an overview of what simulation is and what it can be used for, and deep-dives into simulation of self-driving vehicles.
- Understand the fundamentals of simulation across verticals
- Learn how simulation runs what-if scenarios, typically faster than real-time
- Explore how simulation can be derived from real-world experiences, with added variations
- Consider how simulation can be used in a wide variety of applications, e.g., robotics, self-driving cars, software services
The participants will learn about simulation and how it's used in a variety of field, with details about simulation of self-driving vehicles.
Allison Liemhetcharat is a roboticist & software engineer, who is interested in using artificial intelligence to solve real world problems. At rideOS, Allison leads the development of simulation, and works closely with partners to integrate their self-driving vehicles into the rideOS services. Prior to rideOS, Allison worked for over 2 years at Uber Advanced Technologies Group in Pittsburgh. She was Tech Lead of Simulation for over a year, and subsequently worked on the Motion Planning team, and has experience with both the offline and online aspects of self-driving vehicles. Before joining Uber ATG, Allison was a scientist at the Institute for Infocomm Research in Singapore, and worked on a number of robotics projects. She also mentored over 30 students in research-related projects, ranging from high school to PhD students. Allison holds a Ph.D. and MS in Robotics from Carnegie Mellon University and a BS in Computer Science from Carnegie Mellon University.