Rigorous Evaluation of Intelligent Robots
A new concept to evaluate the risk of rare but critical failures on intelligent physical systems
Safe AI Lab
Research laboratory at Carnegie Mellon University
The Safe AI Lab at CMU aims to develop reliable, explainable, verifiable, and good-for-all artificial intelligent learning methods for robotics in the face of the uncertain, dynamic, time-varying, multiple agents, and possibly human-involved environment by bridging statistics and cybernetics. The lab is recognized nationally and internationally for its research on autonomous/connected vehicles and smart cities. The lab has worked with several companies, including Uber, Bosch, Denso, and Toyota, as well as the National Science Foundation, the Department of Transportation, the Department of Energy, and the City of Pittsburgh.
If you are interested in joining our lab, please fill in this form to apply. It requires your CV and a 3-slide PPT describing your previous research experience. You can also directly send emails to dingzhao@cmu.edu, but this may require more time to evaluate your application.
We plan to recruit 2 to 3 new Ph.D. students in 2020.
