EXPERIMENTAL RESEARCH
Independent engineering & researchIntelligence,
Intelligence,
built into
the physical.
Exploring how neural hardware, embedded software, and custom control systems can turn signals into purposeful action.
AMANI / EXPERIMENTAL SYSTEMS
FROM CIRCUIT TO BEHAVIOR
A closer look at neural hardware.
INSIDE THE AMANI WORKBENCHNEURAL HARDWAREEMBEDDED INTELLIGENCECUSTOM CONTROL SYSTEMSPROTOTYPE → MEASURE → REFINE
01 / Research in motionReal hardware.
Real hardware.
Observable behavior.
Research focus — Investigated how converging, diverging, parallel after-discharge, and reverberating neural circuits operate together. The experiments explored useful computation through individual neural frequencies.
Observed result — Frequency division was demonstrated as one circuit property. The broader research informed a computational model for designing custom control systems.
HARDWARE PROTOTYPE
Neural Network Rover
Project focus — A physical neural network rover developed as a ground robotics platform, bringing neural hardware and robot behavior into the same experimental system.
Development period — October 2025 – April 2026. Part of the progression from circuit experiments toward integrated robotic platforms.
CONTROL DEVELOPMENT
Drone Neural Network
System direction — Integrating neural circuits with a custom quadcopter platform, distance sensing, ESP32 communication, and frequency-based control signals.
Current stage — Hardware and control development, August 2026 – present. Flight validation remains a separate testing milestone.
BENCH EXPERIMENT
Reinforcement Learning Results
Experiment focus — A bench platform exploring reinforcement learning and adjustable synaptic weights in a physical neural network. A photodiode senses obstacles on-screen and a servo actuates the jump input.
Research direction — Studying how changes to synaptic weights affect neural frequency and action timing. This experiment supports ongoing investigation of adaptive hardware control.
Selected experiments and prototypes developed by founder Adim Ogbolu. Silent previews loop; full videos include playback and sound controls.
Drone footage documents neural hardware and control development; flight validation remains a separate milestone.02 / Engineering focus
Where ideas meet implementation.
Neural hardware &
physical computation
Investigating how circuit topology, neural frequencies, and adjustable synaptic connections produce computational behavior in physical hardware.
Embedded systems &
hardware integration
Connecting sensors, microcontrollers, communication, and software into working prototypes that can be instrumented and tested.
Robotics &
custom control
Exploring the path from sensing to actuation, with experimental platforms for ground robotics, drone control, and adaptive response.
03 / The research approachBuild it.
Build it.
Measure it.
Understand it.
Our work starts with a specific question and a physical system that can help answer it.
Define the behavior
Identify the inputs, desired response, and measurements needed to evaluate a control or computation concept.
Make the experiment tangible
Bring circuits, sensors, embedded code, and mechanical components together in a testable prototype.
Turn observations into models
Use measured behavior to refine the design and develop a clearer understanding of the system.
04 / About AmaniAn emerging lab.
An emerging lab.
A practical curiosity.
Amani Neural Systems, LLC is an independent engineering research company focused on embedded intelligence, neuromorphic computation, and experimental control systems.
Founded by Adim Ogbolu, a Penn State University Park electrical engineering student and Controls Co-op at Rolls-Royce, Amani grows from hands-on work with neural circuits, robots, and embedded hardware.
About the founder & engineering portfolio ↗05 / Start a conversationHave a system
Have a system
worth exploring?
Connect with Adim to discuss research collaborations, embedded prototypes, or custom control concepts.
Contact Adim ↗570-801-8926