Multi-Robot Navigation using Open-RMF and TurtleBot3
Coordinated fleet management and navigation using Open-RMF, ROS 2, and TurtleBot3 robots—task scheduling, traffic management, and collision-free delivery in complex indoor layouts.
I am an Aspiring Robotics Engineer and Researcher recently transitioning from the ML field focused on building systems that adapt to dynamic conditions, as well as resource-constrained environments.
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B.Sc in Electrical & Computer Engineering
Coursework: Embedded Systems, Control Engineering, Intro to Programming and Computation, Software Engineering I, Probability
STEM focus with coursework in Physics & Mathematics
Courses: Computer Science, Mathematics, Physics, Chemistry
Coordinated fleet management and navigation using Open-RMF, ROS 2, and TurtleBot3 robots—task scheduling, traffic management, and collision-free delivery in complex indoor layouts.
Sensor fusion, mapping, and robust localization for repeated long-horizon runs in dynamic environments with practical failure recovery.
Grasp planning integrated with a perception pipeline for cluttered scenes; evaluated in simulation and on hardware.
Training and sim-to-real transfer experiments for legged locomotion with emphasis on sample efficiency and stability constraints.
Low-latency object detection and tracking optimized for embedded deployment with profiling-driven performance tuning.
AI-powered platform for creating tailored resumes and cover letters for job applications.
C/C++, Python, JavaScript
TensorFlow, Deep Learning, Reinforcement Learning, Computer Vision
ESP32, Raspberry Pi, Arduino
DecisonSpaak Group
ML Collective
IEEE International Conference on Robotics and Automation (ICRA)
We propose a lightweight occlusion-aware planner evaluated across multiple simulation domains and a real robot testbed.
Robotics and Automation Letters (RA-L)
A dataset release with calibration metadata and baseline comparisons for community benchmarking.

Bootcamp | SPE LASU 30 Days of AI
RAIN Innovators Network
Award for Impact on the Community
Ckodon Foundation
Selected as a Ckodon Foundation Scholar (top ~28% of applicants; 381/1,350+), receiving mentorship focused on research direction, academic positioning, and graduate applications.
Lagos State Scholarship Board
Interested in working together? Feel free to reach out for collaborations or opportunities!