Project 02Mechanical Development · Embodied Robotics · Physical AI

Lucy — Ape-Inspired Robotics Platform

I joined KAIRA in August and am currently helping with the mechanical development of Lucy, an ape-inspired robot. The team is also building a broader robotics platform around the project.

Lucy ape-inspired robot project visual for KAIRA — Lucy / mechanical developmentKAIRA official mark ↗

StatusIn progress · Joined Aug 2026

My partRobotics member · Mechanical development

AreaMechanical Development · Embodied Robotics · Physical AI

Core toolsMechanical design · Mechanism development · Prototyping · Robotics integration

Context

KAIRA is developing Lucy as an ape-inspired robot alongside a broader platform for building and testing intelligent machines. The immediate engineering challenge is to turn an ambitious embodied-robotics concept into mechanical architecture that can be built, integrated and iterated without constraining the sensing, actuation and intelligence that will follow.

My work

Joined KAIRA in August 2026 and am currently contributing on the mechanical side of Lucy.
Supporting the robot’s early mechanical development as the team defines its structure, mechanisms and hardware interfaces.
Building system context across KAIRA’s broader robotics platform so mechanical decisions remain compatible with future sensing, actuation and control.
Preparing to contribute to the physical-AI side as Lucy and the shared platform mature.

Notes / next

What I learned

In early embodied-robotics work, clear interfaces and testable assumptions matter more than premature detail.
Physical AI depends on a mechanical platform that is reliable, observable and designed for iteration.
Joining a new robotics team means building shared system understanding before narrowing into a single specialty.

Contribute to Lucy’s mechanical architecture, prototypes and integration interfaces.
Help document the assumptions connecting mechanisms, actuators, sensors and computation.
Move toward physical-AI development as the robot and platform become ready for learning and control experiments.

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