Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
Lyes Saad Saoud, Irfan Hussain
TL;DR
The paper tackles the challenge of ethically, reliably studying avian behavior in the wild by developing HuBot, a bio-inspired female Houbara bustard surrogate. It integrates a fully digital fabrication pipeline (structured-light scanning, CAD, 3D printing, UV texture mapping) with onboard RGB–thermal perception and an embodied PID neck-tracking loop to enable autonomous interaction in harsh desert environments. Key contributions include a reproducible five-stage design workflow, photorealistic UV-textured shells, a six-wheel rocker-bogie mobility base, NightFusion RGB–thermal fusion for low-light operation, and ecological validation with live birds, all accompanied by open-access fabrication and software resources. The work provides a transferable blueprint for ecological, conservation, and public-engagement robotics, bridging high-fidelity morphology with field-ready autonomy and scalable deployment across behavioral studies.
Abstract
Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studying avian behavior in the wild remains challenging due to the need for highly realistic morphology, durable outdoor operation, and intelligent perception that can adapt to uncontrolled environments. We present a next generation bio inspired robotic platform that replicates the morphology and visual appearance of the female Houbara bustard to support controlled ethological studies and conservation oriented field research. The system introduces a fully digitally replicable fabrication workflow that combines high resolution structured light 3D scanning, parametric CAD modelling, articulated 3D printing, and photorealistic UV textured vinyl finishing to achieve anatomically accurate and durable robotic surrogates. A six wheeled rocker bogie chassis ensures stable mobility on sand and irregular terrain, while an embedded NVIDIA Jetson module enables real time RGB and thermal perception, lightweight YOLO based detection, and an autonomous visual servoing loop that aligns the robot's head toward detected targets without human intervention. A lightweight thermal visible fusion module enhances perception in low light conditions. Field trials in desert aviaries demonstrated reliable real time operation at 15 to 22 FPS with latency under 100 ms and confirmed that the platform elicits natural recognition and interactive responses from live Houbara bustards under harsh outdoor conditions. This integrated framework advances biomimetic field robotics by uniting reproducible digital fabrication, embodied visual intelligence, and ecological validation, providing a transferable blueprint for animal robot interaction research, conservation robotics, and public engagement.
