仿生机械胡尔巴鸽机器人实现野外自然行为研究
Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
- 用3D扫描与打印构建逼真外形,支持野外长期使用
- 实测15-22帧/秒,延迟低于100毫秒,可自动追踪活鸟
- 适合动物行为学、保护机器人及公众科普研究
仿生智能与机器人技术正推动野外生态学变革,使具有类生命体特征的机器人能在真实环境中与动物自然互动。野外鸟类行为研究因需高度逼真的形态、耐久的户外运行能力以及能适应非受控环境的智能感知而面临挑战。本文提出新一代仿生机器人平台,复现雌性胡尔巴鸽的形态与视觉外观,用于可控的动物行为学研究和保护导向的野外实验。系统采用高分辨率结构光三维扫描、参数化CAD建模、可动3D打印与紫外线纹理贴膜工艺,实现解剖精确且耐用的机器人制造。六轮摇臂悬架设计保障在沙地和不平地形上的稳定移动;嵌入式NVIDIA Jetson模块支持实时RGB与热成像感知、轻量级YOLO检测,以及无需人工干预的自主视觉伺服控制,可自动对准目标。轻量化热-可见光融合模块提升低光环境感知能力。沙漠笼舍实地测试表明,系统在15至22帧/秒下稳定运行,延迟低于100毫秒,并成功引发活体胡尔巴鸽的自然识别与交互反应。该集成框架通过可复现的数字制造、具身视觉智能与生态验证,为动物-机器人交互研究、保护机器人及公众参与提供可迁移范本。
原文摘要 · Abstract (English)
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.
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