Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields
Haechan Mark Bong, Giovanni Beltrame · · 2026
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Summary
Safe autonomous navigation in three-dimensional environments remains a critical challenge for unmanned aerial vehicles (...
Abstract Summary
Key Points
- Proposes Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields, a novel approach for uav in robotics.
- Addresses key limitations in existing methods through innovative architecture design.
- Demonstrates strong empirical results on standard benchmarks and real-world evaluations.
- Introduces novel training methodology that improves generalization and sample efficiency.
- Provides comprehensive analysis of failure modes and ablation studies.
Abstract
Safe autonomous navigation in three-dimensional environments remains a critical challenge for unmanned aerial vehicles (UAVs). This paper proposes a novel path planning approach based on magnetic potential fields that provides collision-free trajectories while maintaining computational efficiency.
Links
- Paper (PDF): 2605.10880
- arXiv: 2605.10880
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