Stefan Panjkovic

Fondazione Bruno Kessler, University of Trento

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About

Stefan Panjkovic is a researcher advancing the frontier of autonomous robotics in extreme environments, with a primary focus on temporal planning and long-duration autonomy. His major contributions lie in developing sophisticated planning architectures that enable robots—particularly autonomous underwater vehicles (AUVs)—to operate with minimal human intervention under challenging real-world constraints. His most cited work, "Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection" (2024, 10 citations), addresses the critical challenge of full autonomy in subsea environments by proposing a novel architecture that balances safety, operational capability, and adaptability. Complementing this, his paper "Expressive Optimal Temporal Planning via Optimization Modulo Theory" (2023, 7 citations) introduces a powerful framework for synthesizing action sequences under strict temporal constraints, with direct applications in industrial automation and robotics where timing and deadlines are paramount. By integrating optimization modulo theory into temporal planning, Panjkovic has created more expressive and efficient solutions for complex scheduling problems. His work bridges theoretical planning algorithms with practical robotic deployment, making significant strides toward truly autonomous systems capable of sustained operation in the deep ocean and other hazardous environments.