# Humanoid Robot

HOMIEtele is an innovative teleoperation solution designed for humanoid robots, leveraging reinforcement learning and low-cost exoskeleton hardware to achieve precise walking and manipulation. Its significance lies in addressing the inefficiencies and instability of traditional teleoperation systems. By utilizing human motion capture and a reinforcement learning training framework, HOMIEtele enables robots to perform complex tasks more naturally. Key advantages include efficient task completion, elimination of the need for complex motion capture equipment, and rapid training times. Primarily targeting robotics research institutions, manufacturing, and logistics industries, the price isn't publicly available, but its low-cost hardware system offers high cost-effectiveness.

The Smart Yuan Lingxi X1 is an open-source humanoid robot featuring 29 joints and 2 grippers, with support for an extendable 3 degrees of freedom head. It provides detailed development guides and open-source code, enabling developers to quickly assemble and conduct secondary development. The product represents advanced technology in the field of intelligent robotics, with high flexibility and scalability suitable for various scenarios including education, research, and commercial development.

HumanPlus is a research project aimed at training humanoid robots to learn skills autonomously by imitating human actions. The project simulates reinforcement learning to train low-level policies, applying these policies to the real world for real-time tracking of human body and hand movements. Through shadow imitation techniques, operators can remotely control the robot to collect full-body data for learning different tasks. Additionally, behavior cloning techniques enable the robot to imitate human skills and perform various tasks.

Atlas, developed by Boston Dynamics, is an advanced humanoid robot that combines decades of research and practical experience to address the most challenging needs in today's industrial landscape. The next generation Atlas robot is fully electric, featuring greater power and wider range of motion compared to its previous hydraulic versions. It can efficiently accomplish a variety of tasks. Atlas is equipped with new AI and machine learning tools, such as reinforcement learning and computer vision, to ensure its ability to adapt to complex real-world situations. Additionally, Atlas will integrate with Boston Dynamics' Orbit? software, providing a centralized platform for managing an entire fleet of robots, site maps, and digitized transformation data.

This project focuses on achieving real-time full-body teleoperation of humanoid robots, aiming to control robots by learning human movements and behaviors.