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Q&A With Donte Abney

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Donte Abney
Research and Design Fellow, Spelman Innovation Lab

Location: Atlanta, GA United States
Joined: Aug 2nd, 2025
About   (request update)
Freshman, Clark Atlanta University, studying Physics and Robotics Engineering. I aim to use robotics for a cleaner, sustainable future, focusing on clean energy and automation.

I'm an undergrad researcher at Clark and a fellow at Spelman, prototyping robotic systems and developing skills in programming, CAD, and sensor integration. I also research innovative bio-batteries.

As a Bonner Servant Leader, I perform weekly service, grounding my engineering in empathy and social needs.

I offer technical expertise and a collaborative spirit, seeking projects that reduce carbon footprints and advance sustainable automation. Let's connect on sustainability, robotics, and innovation.

Education   (request update)
Clark Atlanta University class of 2029
Undergrad Major: Physics
Experience
I currently work with Spelman Innovation Lab as Research and Design Fellow
I have 1 years of experience working in the Engineering industry.
Research and Design Fellow | Spelman College Innovation Lab
From September 2025 to Current • 1 year(s)
•Supervised a 2-person research team tasked with creating sustainable energy solutions by developing a symbiotic bio-battery prototype integrating fungal mycelium and cyanobacteria, targeting >2V sustained output by April 2026 •Synthesized insights from 10+ peer-reviewed studies on fungal bioelectronics and microbial fuel cells to guide and improve prototype design and efficiency strategies •Produced technical documentation and interim reports to meet faculty evaluation requirements, collaborating with professors and CDC researchers to validate methodology, resulting in approved research standards and continued funding
Undergraduate Researcher | Clark Atlanta University Robotics
From August 2025 to Current • 1 year(s)
•Streamlined precision control challenges in robotic manipulation by prototyping and testing robotic arms with advanced sensor integration, implementing calibration procedures that reduced operational error rate by 3% through systematic testing •Formulated comprehensive performance evaluation protocols by programming motion sequences in Python and MATLAB to assess robotic systems under varied load conditions, enabling data-driven optimization of arm performance parameters •Conducted systematic data collection across 200+ experimental trials to address stability issues in manipulation tasks, analyzed performance patterns to implement targeted improvements that enhanced arm accuracy and operational reliability
Aspire Intern | Johns Hopkins Applied Physics Laboratory (APL)
From June 2024 to November 2024 • 0 year(s)
•Designed a location tracking and fall detection challenge for first responders by designing and delivering a functional IMU wearable during a competitive internship, producing 1 fully tested prototype ready for user deployment •Spearheaded hardware-firmware integration project requiring technical coordination, developed CAD models and 3D printed enclosures while coding Python and C++ for Arduino, delivering prototype demonstrations that validated design concepts •Executed extensive bench validation testing to ensure sensor reliability, documented performance characteristics, achieving 92% accuracy, and presented technical findings at APL Aspire Showcase, demonstrating superior engineering execution that earned 1st place among competing intern teams
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Tagged by Ralph White on 08/07/2025  
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