← Search

Jacob M. Anderson

1 accepted papers

2026

Information-Based Supervised Learning of In-Proximity Effects for 3D Distance Estimation and Collision Avoidance

RA-L 2026

In-proximity effects (IPE) in 3D, specifically in-ground, in-ceiling, and in-wall effects, experienced by a rotary-wing aerial robot as it flies near obstacles are leveraged for obstacle distance estimation and collision-free motion control. Onboard motor commands and inertial measurement unit (IMU)

Cited by 0SourceScholar