aiqbench analysis
This research presents the first physical demonstration of coupling volumetric harmonic fields with constrained predictive planners for quadrotor navigation in cluttered 3-D environments. The approach successfully balances global guidance with local motion limits, achieving superior clearance and smoother jerk profiles compared to traditional Dijkstra-based methods while validating execution on Crazyflie drones.
Volumetric Harmonic Field Navigation for Quadrotors
arXiv:2609.15680v1 Announce Type: new Abstract: Quadrotor navigation in cluttered 3-D environments requires global guidance while local motion remains subject to collision and motion limits. Harmonic potentials provide dense guidance from a global boundary value problem, but coupling a volumetric harmonic field to constrained physical quadrotor motion remains an open experimental problem. We couple a precomputed volumetric harmonic field with a constrained predictive planner that queries the field at predicted positions instead of extracting a global reference path. In Structured 3-D tests, harmonic guidance yields larger minimum clearance and lower RMS jerk than matched Dijkstra guidance, at the cost of longer paths; the same pattern remains when both methods use the same passage. Long maze tests span routes far beyond one prediction horizon, and Crazyflie trials validate physical execution. To the best of our knowledge, this is the first physical quadrotor demonstration of volumetric harmonic field navigation. The results show that globally constructed harmonic guidance can directly support local constrained motion generation on a physical quadrotor.
Abstract:Quadrotor navigation in cluttered 3-D environments requires global guidance while local motion remains subject to collision and motion limits. Harmonic potentials provide dense guidance from a global boundary value problem, but coupling a volumetric harmonic field to constrained physical quadrotor motion remains an open experimental problem. We couple a precomputed volumetric harmonic field with a constrained predictive planner that queries the field at predicted positions instead of extracting a global reference path. In Structured 3-D tests, harmonic guidance yields larger minimum clearance and lower RMS jerk than matched Dijkstra guidance, at the cost of longer paths; the same pattern remains when both methods use the same passage. Long maze tests span routes far beyond one prediction horizon, and Crazyflie trials validate physical execution. To the best of our knowledge, this is the first physical quadrotor demonstration of volumetric harmonic field navigation. The results show that globally constructed harmonic guidance can directly support local constrained motion generation on a physical quadrotor.
Robotics (cs.RO); Analysis of PDEs (math.AP); Optimization and Control (math.OC)
arXiv:2609.15680 [cs.RO]
(or arXiv:2609.15680v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.15680 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 261 words
Related coverage
ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics
arXiv · Oct 15, 2026
ORBIT-2 based Weather and Climate Downscaling and Downscaled Global Forecasts on AMD Instinct
AMD · Jun 8, 2026
Distributed Stochastic Optimal Control for Pattern-Oriented Swarms
arXiv · Sep 14, 2026
WAND: Learning Robust Navigation under Complex Wind Disturbances and Dense Obstacles for Quadrotors
arXiv · Oct 9, 2026