About

I bridge the gap between abstract control theory and physical robotic deployment. Whether it's tuning torque-based compensation or architecting multi-AMR fleets via VDA5050, I build the intelligence that makes autonomy predictable.

Background

I'm a Robotics Software Engineer with 4 years of experience in autonomous systems, control theory, and agentic AI orchestration. My work spans collaborative robots (cobots), autonomous mobile robots (AMRs), and industrial automation.

I hold a PhD in Mechatronics Engineering from Kocaeli University, where I researched multi-robot coordination and distributed control systems. I also hold an MSc in Mechatronics and a BSc in Mechanical Engineering from the University of Ibadan.

Currently, I lead robotics software development at McFly Robot Technologies, where I design and deploy perception-integrated control systems for industrial automation.

Control & Modeling

  • PID / Impedance / Torque Control
  • State-Space / Stability / Damping
  • Feedforward / Closed-Loop Design

Motion Execution

  • ROS2 Nav2 / Costmap / SLAM
  • Constraint-Aware Trajectories
  • VDA5050 / Multi-AMR Fleets

Industrial Infra

  • ABB / KUKA / PLC (Siemens)
  • Fieldbus: EtherCAT / Profinet
  • Industrial Safety I/O / Modbus

Software & Sim

  • C++ / Python / MATLAB / JS
  • Isaac Sim / Gazebo / FlexSim
  • Hardware Interfaces / MoveIt2

System Integration

  • Sensor Fusion (EKF / UKF / VIO)
  • Git / Docker / RT_PREEMPT Linux
  • Hardware-Software Interfacing

AI & Orchestration

  • Agentic AI / Task Planning
  • LangChain / LangGraph
  • LLM Orchestration / RAG
  • System 2 Reasoning / Autonomy

Education

PhD // Mechatronics Engineering ONGOING
Kocaeli University [3.74/4.0]
[Multi-Robot Control]
MSc // Mechatronics Engineering
Kocaeli University [3.94/4.0]
[Sensor-Fusion Navigation] [Predictive Modeling (CNN-LSTM)]
BSc // Mechanical Engineering
University of Ibadan [6.4/7.0]
Graduate Member - Nigerian Society of Engineers

Patents

[1 Approved Patent] — Robotic Control Systems [2 Pending Patents] — Distributed Coordination & Adaptive Behavior

Focused on robotic control systems, distributed coordination, and adaptive system behavior.