外观
论文arXiv 2610.0873722 天前
PhoneBot开源人形平台:复用智能手机作感知计算核心降本
本文由 AI 根据公开内容整理,可能有误,请以原文为准:PhoneBot: A Low-Cost Open Humanoid Robot Platform Reusing Smartphones(arXiv 2610.08737)
核心内容
针对人形机器人在教育科研领域成本高、系统复杂的问题,arXiv论文提出开源平台PhoneBot。该平台将消费级智能手机作为核心感知与计算单元,利用其内置IMU、摄像头、无线通信及板载算力替代专用传感器与工控机,显著降低硬件门槛并简化系统架构,相关设计已在phonebot.dev完全开源。
PhoneBot机械结构由13个低成本执行器驱动的模块化下肢与躯干手机支架组成。软件层面构建了实时通信框架,支撑稳定步态控制、基于视觉的人体跟随、语音交互、拍摄记录及移动遥操作等功能。实验验证了使用市售手机即可实现可靠行走与感知交互,为具身智能算法教学与快速原型开发提供可复现的低成本基准。
关键看点
- 核心架构:复用智能手机集成IMU、相机与处理器作为主控,替代昂贵专用传感与计算模组
- 驱动配置:采用13个低成本执行器构建模块化下肢结构,支撑稳定双足行走与基础运动控制
- 功能验证:实测实现视觉人体跟随、语音对话、视频录制及移动遥操作等多模态交互能力
- 开源生态:硬件设计与软件代码全量开源,提供标准化接口支持教育与科研场景快速复现
工程与产业观察
该方案通过消费电子供应链红利重构人形机器人BOM成本结构,为具身智能算法验证提供极低门槛的物理载体。其核心价值在于将手机作为标准化感知计算节点,虽性能上限受限,但极大降低了高校与初创团队在步态控制、多模态交互等基础研究阶段的硬件试错成本,适合作为教学教具或算法预研平台。
英文摘要 (Abstract)
The adoption of humanoid robots in education and research remains limited by high hardware costs, complex sensing systems, and substantial computational requirements. This paper presents PhoneBot, a low-cost, open-source humanoid robot platform that repurposes commodity smartphones as its primary sensing and computing unit. By using a smartphone's integrated inertial measurement unit (IMU), camera, wireless connectivity, and onboard processing capabilities, PhoneBot reduces hardware costs and simplifies the system architecture. The robot combines a modular lower-body structure driven by 13 low-cost actuators with a torso-mounted smartphone that supports perception, control computation, and user interaction. We describe the mechanical design, software architecture, and real-time communication framework that support stable locomotion and capabilities including vision-based human following, conversational interaction, filming, and mobile telepresence. Experimental evaluations demonstrate reliable walking, perception-driven interaction, and straightforward deployment using off-the-shelf consumer smartphones. With fully open-source hardware and software designs, PhoneBot provides an affordable, reproducible platform for education, research, and rapid prototyping. More details are available at https://phonebot.dev.
作者:Ruochen Hou, Quanyou Wang, Daniel Koh, Dennis W. Hong
来源
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