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PROJECT / Robotics & Embodied AI

RoboLLM

Robot workbench — webcam hand-teleoperation, humanoid motion mirroring, and LLM-driven robot control experiments on ROS 2.

RoboLLM project illustration
EXPLORE THE PROJECT

The work, in context.

Read the connected notes for the decisions, experiments and questions behind this project.

BEHIND THE WORK

Decisions, experiments & field notes.

01

AI Proposes, Safety Decides

RoboLLM's four principles in practice: one ROS 2 bridge for MCP and dashboard, a physical-arm chain where no model ever touches PWM, gesture pick-and-place and fist-triggered wall welding with collision-verified standoffs — and why it is the same shape as a meta-harness.

RoboticsSafetyAI Agents
02

Webcam to Humanoid: Four Things the Research Got Wrong

Building the RoboLLM humanoid mirror: MoveIt ships no humanoid, your hips are invisible at a desk, cv2.flip swaps MediaPipe left/right labels (measured 20–38×), and never compute a speed limit from subscriber arrival times. Verified 0.0000° against /compute_fk.

RoboticsROS 2MediaPipe
03

Direct Joint Copy Beat QP IK — and the Habit That Caught It

Full-body Talos mirror in RoboLLM: pink QP differential IK lost to direct joint copy in an A/B — wrist error 0→5.31 mm, 31–58 ms ticks vs a 20 ms budget, a crash on partial visibility, and an orientation 'win' with no ground truth. Why Pose-only input caps fidelity and when QP actually pays.

RoboticsROS 2Teleoperation
THE SAME ORBIT

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Autonomous drone flight controller running on a Raspberry Pi Pico W. Written in Rust with PID and LQG control loops for stable attitude and position hold.

RustRaspberry Pi Pico WPIDLQG
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Forge

AI-powered manufacturing platform for custom jewelry — sketch-to-CAD conversion with downstream CNC planning and job orchestration.

PythonLLMsCADCNC
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AN INTERESTING QUESTION IS A GOOD START

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Concept illustration of a small antenna sending a golden signal across a violet night sky.