A Beginner's Guide to Robotics Hardware | Interlatent Blog
interlatent.com · 143 words · saved by 2 readers
Capture every rollout, score what happened, and retrain on the parts that matter.
Bring a state of the art policy to your hardware and have it running in under an hour. No infrastructure, no glue code. Each attempt your robot makes comes back on its own. Step in to correct it when it fails, and every success and failure lands in one place. Use what you collected to train the next version of your policy. It gets better with every run. Arm moves from rest toward the cube with a smooth, direct trajectory. No hesitation across either camera. Gripper rotates to match the cube but overshoots and re-corrects twice before settling. Fingers close cleanly on the cube; contact looks s
saved by
related reading
- Building Worlds That Train Robotsworldlabs.ai
- [1910.07113] Solving Rubik's Cube with a Robot Handarxiv.org
- State of Robot Learning, December 2025vedder.io
- How Claude Performs on Robotics Tasks \ Anthropicanthropic.com
- Many Small Steps for Robots, One Giant Leap for Mankindnotboring.co
- GitHub - adam-maj/robotics: A deep dive on the history of robotics and the future of humanoidsgithub.com
- Training an SO-101 RL Agent to Grasp and Lift in MuJoCoggando.com
- Learning Beyond Gradientstrinkle23897.github.io
- Stop Simulating, Start Experiencingpaoloai.substack.com
- A VLA that Learns from Experiencepi.website
- LeRobot v0.6.0: Imagine, Evaluate, Improvehuggingface.co
- Building a robotics research setup that lives next to my desk – dfdx labsdfdxlabs.com