Cost-effective, high-performance hardware built for learning-based robotics — teleoperation-ready, policy-deployment-ready, and battle-tested in the real world.
Low-cost, low-inertia 6-DOF arms designed for AI training and teleoperation — four tiers from research to production.
Learn more →Omnidirectional holonomic platform with on-board Pi, remote control, and full Python API.
Learn more →Bilateral leader-follower teleop. YAM Cell collects bimanual demonstrations for embodied AI.
Learn more →Plug-and-play API: gravity compensation, PD control, trajectory recording, and simulation.
Quick start →6-DOF arms in four tiers: YAM · Pro · Ultra · BIG YAM.
From $2,999Bimanual teleoperation station — 2 leader + 2 follower arms.
Python SDKEnclosed manipulation station. Hardware available.
Code Coming SoonOmnidirectional mobile base with Python API and remote.
Flow Base + vertical linear rail — full mobile manipulation.
From $18,999Install the Python SDK, plug in the CAN adapter, and start controlling the arm in a single script.
Full Quick Start →from i2rt.robots.motor_chain_robot import get_yam_robot
import numpy as np
# Connect (zero-gravity mode by default)
robot = get_yam_robot(channel="can0")
# Read current joint positions
q = robot.get_joint_pos() # shape: (6,) radians
# Command the arm home
robot.command_joint_pos(np.zeros(6))