<u>Zachary Sullivan</u>

Zachary Sullivan

Senior Software Engineer @ Autonodyne | Harvard University | Interested in Self-Adaptive Systems, Machine Behavior, and Evolutionary Computation

AERO: A Neo-Darwinian Approach to Time-Energy Optimal Behavioral Robotics

Published in Harvard DASH, 2023

Recommended citation: Sullivan, Zachary. 2023. AERO: A Neo-Darwinian Approach to Time-Energy Optimal Behavioral Robotics. Masters thesis, Harvard University Division of Continuing Education. https://dash.harvard.edu/handle/1/37374997

This thesis proposes an adaptive multi-variable optimizing control framework for AAVs called AERO (Another Evolutionary Robotic Optimizer). AERO consists of a layered software structure comprising Neo-Darwinian “directed evolution” techniques that generate time/energy tuned Behavior Tree parameters that then drive the AAV flight controller actions and attitude postures.

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Recommended citation: Sullivan, Zachary. 2023. AERO: A Neo-Darwinian Approach to Time-Energy Optimal Behavioral Robotics. Master’s thesis, Harvard University Division of Continuing Education.