The Vehicle Autonomy and Intelligence Lab (VAIL) focuses on developing methodologies that enhance the autonomy and intelligence of robotic systems such as unmanned ground, aerial, and aquatic vehicles. Our research interests include planning, learning, and coordination techniques for autonomous systems involving single or multiple robots with potential applications in environmental monitoring, surveillance and security, search and rescue, as well as smart transportation.

VAIL is affiliated with the Department of Intelligent Systems Engineering (ISE) in the School of Informatics, Computing, and Engineering (SICE) at Indiana University - Bloomington.

Latest News & Events

  • One RSS paper accepted

    We proposed a new mechanism (kernel Taylor-based value function approximation) for robotic decision-making. Paper will be available soon.

  • We received grant from U.S. Army Research Lab (ARL)

    This grant will support our team for research on enhancing autonomous system capabilities to maneuver in complex and contested environments.

  • We received Amazon AWS Machine Learning Research Award

    The award will allow VAIL researchers to access and leverage Amazon's state-of-the-art cloud computing tools and services for boosting our work on both machine learning and autonomous systems.

  • Two RSS papers accepted

    We use reachability analysis to characterize time-varying Markov Decision Processes and Pareto Monte Carlo Tree Search for multi-objective informative planning.

  • Four new PhD students joined VAIL!

    Four PhD students were admitted this Spring. Welcome Weizhe Chen, Zheng Chen, Pavan Saranguhewan, and Junhong Xu!

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