Background added with AI
Robotics & AI Engineer | Humanoid Systems | Autonomy & Perception | EEE Major
I design and build autonomous robots end-to-end — from hardware (custom PCBs, BLDC motor control) to intelligence (sensor fusion, AI-driven perception) — enabling machines to perceive, move, and act with human-like dexterity.
Electrical & Electronics Engineering major at
Adeleke University
, specializing in robotics & systems engineering.
Currently architecting a 6’0" humanoid robot, with a focus on developing custom control and planning algorithms within the ROS 2 framework. Skilled in CAD, C++, Python, real-time control systems, and embedded programming.
Beyond engineering, I explore art and experimental projects that blend creativity
with technology—bringing personality, humor, and curiosity into my work.
(Robotics & Artificial Intelligence Innovator) — RAIN Campus Lead, Adeleke University.
A full-scale humanoid platform architected around the professional ROS 2 framework. The core innovation lies in custom C++ plugins for whole-body control (`ros2_control`) and volumetric motion planning (MoveIt! 2), enabling advanced, real-time autonomy.
[GitHub Repo] [Simulation Video]
A simulation of a distributed, AI-driven swarm for real-time reconnaissance and coordination, focusing on decentralized pathfinding algorithms.
A system design for a hybrid rover with terrain adaptation and aerial transition capabilities, demonstrating cross-domain robotics concepts.
Proposed a new SLAM architecture beyond EKF/Graph methods, enabling more efficient localization and mapping for dynamic, high-DOF robots.
A first-principles redesign of SLAM for dexterous robots.
System design for achieving a stable humanoid gait via multi-sensor fusion.
Analysis of decentralized AI for multi-agent coordination.
![[CAD Render]](pebble-cad.png){kind=link}
![[CAD Render]](roverdrone-cad.png){kind=link}