UCLA 开源 PhoneBot：旧手机驱动的人形机器人
加州大学洛杉矶分校（UCLA）研究人员开发了开源人形机器人 PhoneBot，高 483 毫米、重 1.8 公斤。它利用四款测试过的 Android 手机（包括 2017 年的 Honor 9 和三款约 50 至 80 美元的机型）进行摄像头人物追踪、惯性传感和基于 TensorFlow Lite 的运动控制，另有一台机载计算机负责与电机通信。团队用强化学习和镜像训练样本训练行走控制器，并报告步态对称性改善；该平台机器人硬件成本约 400 美元（不含手机），但目前受限于平坦地面行走、低功率舵机和没有手臂。
该项目表明，低成本、可复现的人形机器人研究平台可以利用现成智能手机传感器和 TensorFlow Lite 完成感知与学习行走，研究人员称这便于其他人修改并研究基于智能手机的机器人技术。
- PhoneBot uses cheap Android smartphones for vision, sensing, and walking control
- UCLA researchers built a humanoid robot with approximately $400 in hardware
- Four Android phones handled PhoneBot’s core sensing and computing tasks
Researchers at the University of California, Los Angeles (UCLA), have developed PhoneBot, a compact humanoid robot that reuses cheap smartphones for sensing and computing.
The open source platform costs approximately $400 for its robotic hardware, excluding the phone, making it considerably cheaper than several existing small humanoid research systems.
PhoneBot stands 483 mm tall, weighs 1.8 kg, and uses 13 servo motors to control its legs and rotating torso during movement.
Old smartphones handle vision, computing and robot control
Instead of requiring dedicated cameras, motion sensors and an expensive onboard computer, PhoneBot relies on the smartphone's existing hardware for these functions.
#PhoneBot#University of California Los Angeles#Android#TensorFlow Lite#Honor 9#arXiv