Matthew Johnson Roberson — accepted AI-conference papers

2020

Pixel-Wise Motion Deblurring of Thermal Videos

Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson Roberson

RSS 2020poster

Uncooled microbolometers can enable robots to see in the absence of visible illumination by imaging the “heat” radiated from the scene. Despite this ability to see in the dark, these sensors suffer from significant motion blur. This has limited their application on robotic systems. As described in…

Cited by 18 Source ↗PDF ↗Scholar ↗

2020

Reachable Sets for Safe, Real-Time Manipulator Trajectory Design

Patrick Holmes, Shreyas Kousik, Bohao Zhang, Daphna Raz, Corina Barbalata, Matthew Johnson Roberson +1

RSS 2020poster

For robotic arms to operate in arbitrary environments, especially near people, it is critical to certify the safety of their motion planning algorithms. However, there is often a trade-off between safety and real-time performance; one can either carefully design safe plans, or rapidly generate poten…

Cited by 54 Source ↗PDF ↗code ↗Scholar ↗