The Michigan Engineer News Center

Risk-aware autonomy – moving artificial intelligence forward

In this video, CSE PhD student Dhanvin Mehta talks about his work in getting robots to navigate safely amongst pedestrians.| Short Read

Dhanvin Mehta, CSE PhD student, is working on the Risk Aware Multi-Policy Decision Making algorithm to help guide robots in uncertain environments with constantly changing variables, such as for autonomous vehicles driving among pedestrians who can suddenly change direction or speed without signalling. The algorithm takes into account potentially dangerous outcomes in the near future and adjusts to each unique situation, making the best decision possible.

Dhanvin Mehta talks about his work in getting robots to navigate safely amongst pedestrians.
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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read