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arxiveess.SYcs.RO2026-07-17

Vessel Trajectory Prediction using COLREGs-aware Optimal Planning

David Kaikkonen, Fredrik Ljungberg, Erik Frisk

This paper presents a trajectory prediction method for marine vessels based on optimal planning. Crude initial trajectories respecting static obstacles are first generated using A*-search to provide a feasible warm start. In the second step, a numerical optimizer is used to ensure COLREG compliance. The prediction problem is posed as sequential trajectory planning from the perspective of each surrounding vessel, requiring only their current positions, velocities, and intended destinations as input. As the latter is included in AIS messages, this enables faster predictions than learning-based methods that typically require longer data histories. The proposed method is validated using real-world scenarios constructed from AIS data.

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arxiveess.SYcs.RO2026-07-19

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Catch, Throw, Repeat: Planning for Human-Robot Partner Juggling

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Dynamic object exchange between humans and robots remains a challenging problem due to uncertainty in perception, timing, and contact-rich interaction. Human-robot juggling represents a particularly demanding instance of this problem, requiring precise real-time coordination, pre…

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Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching

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Vision-Language-Action (VLA) models have demonstrated promising generalization capabilities across robotic manipulation tasks, yet their real-world deployment remains limited by the lack of effective safety measures. Specifically, existing safety measures only prevent collisions…

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