4 papers
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
Robin Schmid, Deegan Atha, Frederik Schöller +8
Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a…
Towards Robust State Estimation by Boosting the Maximum Correntropy Criterion Kalman Filter with Adaptive Behaviors
Seyed Fakoorian, Angel Santamaria-Navarro, Brett T. Lopez +2
This work proposes a resilient and adaptive state estimation framework for robots operating in perceptually-degraded environments. The approach, called Adaptive Maximum Correntropy…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
State Estimation-Based Robust Optimal Control of Influenza Epidemics in an Interactive Human Society
Vahid Azimi, Mojtaba Sharifi, Seyed Fakoorian +2
This paper presents a state estimation-based robust optimal control strategy for influenza epidemics in an interactive human society in the presence of modeling uncertainties. Inte…