Max Robotics — Global Service Robot Directory + US Certification

About

A. Renuka is a researcher at the forefront of deploying deep learning and computer vision on resource-constrained edge devices. Her work bridges the critical gap between high-performance AI models and the practical limitations of hardware like the Raspberry Pi and Jetson Nano. Renuka’s major contributions lie in optimizing object detection and tracking for real-time robotics and IoT applications. She has pioneered methods for exploratory data preparation and model training tailored to low-quality camera inputs, enabling robust performance where standard pretrained models fail. Her highly cited paper, "Exploratory Data Preparation and Model Training Process for Raspberry Pi-Based Object Detection Model Deployments" (10 citations), provides a foundational framework for this challenge. Additionally, her investigation into the MobileNet-SSD architecture for human-follower robots (9 citations) demonstrates a direct application of her work in autonomous systems. Beyond computer vision, Renuka has explored scalable process automation in financial services using Blue Prism (10 citations), showcasing her versatility. With a growing portfolio of impactful work, she is a key figure in making intelligent, real-time AI accessible on compact, low-power platforms.