2 code implementations • 10 Apr 2024 • Jie Wang, Yash Vardhan Pant, Lei Zhao, Michał Antkiewicz, Krzysztof Czarnecki
By incorporating a sparse GP technique in HV modeling and adopting a dynamic GP prediction within the MPC framework, we significantly reduced the computation time of GP-MPC, marking it only 4. 6% higher than that of the conventional MPC.
no code implementations • 25 Jan 2021 • Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, Kuk Jang, Houssam Abbas, Rahul Mangharam
Urban Air Mobility, the scenario where hundreds of manned and Unmanned Aircraft System (UAS) carry out a wide variety of missions (e. g. moving humans and goods within the city), is gaining acceptance as a transportation solution of the future.
no code implementations • 23 Jun 2020 • Alëna Rodionova, Yash Vardhan Pant, Kuk Jang, Houssam Abbas, Rahul Mangharam
With increasing urban population, there is global interest in Urban Air Mobility (UAM), where hundreds of autonomous Unmanned Aircraft Systems (UAS) execute missions in the airspace above cities.
no code implementations • 17 Mar 2020 • Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta
We present a new approach to automated scenario-based testing of the safety of autonomous vehicles, especially those using advanced artificial intelligence-based components, spanning both simulation-based evaluation as well as testing in the real world.
no code implementations • 4 Nov 2019 • Shromona Ghosh, Yash Vardhan Pant, Hadi Ravanbakhsh, Sanjit A. Seshia
The framework uses a falsifier to find counterexamples, or traces of the systems that violate a safety property, to extract information that enables efficient modeling of the perception modules and errors in it.