ROSYNov 5, 2021

Optimal Inverted Landing in a Small Aerial Robot with Varied Approach Velocities and Landing Gear Designs

arXiv:2111.03539v28 citations
Originality Incremental advance
AI Analysis

This work addresses a challenging maneuver for autonomous aerial robots, inspired by biological fliers, but it is incremental as it builds on prior observations and simulations with limited experimental validation.

The paper tackled the problem of enabling small aerial robots to perform inverted landings without external positioning by analyzing optimal maneuvers based on initial approach velocities and landing gear designs, identifying a three-dimensional policy region for global landing strategies.

Inverted landing is a challenging feat to perform in aerial robots, especially without external positioning. However, it is routinely performed by biological fliers such as bees, flies, and bats. Our previous observations of landing behaviors in flies suggest an open-loop causal relationship between their putative visual cues and the kinematics of the aerial maneuvers executed. For example, the degree of rotational maneuver (the amount of body inversion prior to touchdown) and the amount of leg-assisted body swing both depend on the flies' initial body states while approaching the ceiling. In this work, inspired by the inverted landing behavior of flies, we used a physics-based simulation with experimental validation to systematically investigate how optimized inverted landing maneuvers depend on the initial approach velocities with varied magnitude and direction. This was done by analyzing the putative visual cues (that can be derived from onboard measurements) during optimal maneuvering trajectories. We identified a three-dimensional policy region, from which a mapping to a global inverted landing policy can be developed without the use of external positioning data. Through simulation, we also investigated the effects of an array of landing gear designs on the optimized landing performance and identified their advantages and disadvantages. The above results have been partially validated using limited experimental testing and will continue to inform and guide our future experiments, for example by applying the calculated global policy.

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