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fechachris4/README.md

Christian Akabueze

Robotics engineer in London. MSc in Human and Biological Robotics, Imperial College London (2026). AI and Robotics.

A participant walking on a treadmill wearing two robot arms on the torso, with Vicon cameras around the rig

Projects

Two Kinova Gen3 arms worn on the torso hold their end-effectors fixed in the room while the wearer walks. In treadmill trials with seven participants, they cancelled 56-71% of mount motion, depending on walking speed. A MuJoCo study attributes most of the residual to a late estimate of the mount's velocity.

A 400 Hz world-frame Cartesian controller on the Kinova Kortex API, with mount velocity estimated from Vicon.

During surgery, the propofol dose has to keep a patient at the right depth of anaesthesia. I tested Soft Actor-Critic against a well-tuned PID on 30 simulated patients it had never seen, with a noisy monitor signal delayed by 20 s. SAC learning corrections on top of the PID tied with it (85.3% vs 84.9% of time in the target range).

Before robotics

Mechanical engineer in building services, including a data-centre project, where I wrote an AutoCAD automation tool that cut project setup from 2 days to minutes. Before that, technical co-founder of a community events platform that grew to 3,500 members in three months.

Contact

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  1. Reinforcement_learning_for_Anesthesia Reinforcement_learning_for_Anesthesia Public

    RL (Soft Actor-Critic) vs tuned PID for closed-loop propofol anaesthesia, tested on 30 held-out simulated patients with a noisy, delayed BIS monitor.

    Python