OpenClaw Configures 1 Robot Arm and Trains Another AI to Grasp Objects
Updated
Updated · WIRED · May 20
OpenClaw Configures 1 Robot Arm and Trains Another AI to Grasp Objects
4 articles · Updated · WIRED · May 20
OpenClaw was used to set up a physical LeRobot 101 arm, calibrate its joints, and generate code that let the claw detect and grab a red ball.
The agent then helped train a separate model to control the arm through teleoperated demonstrations, guiding repeated runs and checking error rates after each training cycle.
LeRobot 101 pairs a human-operated controller arm with a camera-equipped follower arm, creating a relatively low-cost open-source setup for teaching manipulation tasks.
The experiment builds on the 2022 “code as policy” approach, which uses coding models to control robots instead of relying only on directly trained motion policies.
CaP-X, a new benchmark from UC Berkeley, Nvidia, Carnegie Mellon and Stanford, found Gemini leading robot-programming tasks, underscoring growing industry and academic interest in AI-coded robotics.
As AI masters robot programming, what is the next major barrier to deploying autonomous humanoids in our daily lives?
If AI lets anyone control a robot, what skills will human workers need to stay ahead of $2/hour machines?
With AI now writing robot control code, how can we guarantee safety when even human-written code has bugs?
From Language to Grasp: How OpenClaw is Democratizing Autonomous Robotics and Shaping the Future of Embodied AI
Overview
Recent advancements have ushered robots into a new era, enabling them to understand natural language commands and perform complex tasks like grasping. The open-source project OpenClaw stands out for its intuitive operation and strong adaptability, establishing a seamless connection between AI commands and device execution. This has lowered the barrier for controlling robotic arms and highlights the shift toward more accessible and capable autonomous systems. Ongoing research, such as training robots with autoregressive models, further supports these developments, marking significant progress in both the intelligence and practical abilities of modern robots.