Author

Erik Jagnandan

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Jul 2026

Time-to-Collision Based Dynamic Obstacle Avoidance Using Pretrained Vision Models for Robots in Unstructured Environments

This work presents a data-efficient, interpretable method for vision-based dynamic obstacle avoidance that operates entirely on real-world data, avoiding the sim-to-real transfer problem inherent in simulation-trained policies.

Erik Jagnandan, M. Haile, Gregory Barber et al. · arXiv.org · 0 citations