Reliable Intelligent Systems Lab (RISL) at Rensselaer Polytechnic Institute (RPI) researches methods for improving the safety, trustworthiness, and generalizability of intelligent systems. The topics of interest include reachability analysis, decision-making under uncertainty, runtime monitoring, behavior modeling, and transfer learning. The lab’s application areas include aerial robotics, mobile robot navigation, and autonomous driving.
@article{rober2023backward,title={Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems},author={Rober, Nicholas and Katz, Sydney M and Sidrane, Chelsea and Yel, Esen and Everett, Michael and Kochenderfer, Mykel J and How, Jonathan P},journal={IEEE Open Journal of Control Systems},volume={2},pages={108--124},year={2023},doi={10.1109/OJCSYS.2023.3265901},}
