Papers for

indoor robotics teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Quadrotors navigate cluttered 3D spaces using harmonic fields

Volumetric Harmonic Field Navigation for Quadrotors

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.

Mon 14 SeptRobotics
The gist
Flying small drones like quadrotors safely through complicated 3D spaces is hard because they must avoid collisions while following a good overall route. The authors use a special mathematical field called a volumetric harmonic field to guide the drone’s path globally. Instead of following a fixed path, the drone’s planner predicts where it will be and queries the field locally to decide its next move, keeping it safe and smooth. Tests in simulated and real environments show this method leads to safer, smoother flying with some longer routes.
Open 2609.15680v1