Roni Khardon

Tufts University, Indiana University Bloomington

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About

Roni Khardon is a leading researcher in artificial intelligence, robotics, and automated planning, with a particular focus on bridging the gap between reactive control and deliberative reasoning. His foundational work on abstract planning for reactive robots (27 citations) introduced hybrid architectures that combine fast reactive sub-policies with goal sequencing, addressing the critical challenge of maintaining reactivity during replanning—a problem central to deploying autonomous systems in dynamic environments. More recently, Khardon has made significant contributions to robotic information gathering (RIG), developing novel approaches that leverage non-stationary Gaussian processes (17 citations) and attentive kernels (16 citations) to enable robots to efficiently model unknown spatial phenomena under real-world constraints. His 2023 work on DiSProD introduces differentiable symbolic propagation of distributions for planning, a powerful online planner capable of handling probabilistic transitions in continuous state-action spaces. Across these contributions, Khardon’s research consistently tackles the tension between computational tractability and robust performance, advancing both the theoretical foundations and practical deployment of intelligent robotic systems.