INSIGHTS

Engineering Blog From the Field

Technical writing for engineers - deep dives into embedded Linux, RDK-B, machine learning at the edge, and robotics from the teams that build these systems every day.

Lightweight Models for Real-Time Inference on Robotic Edge Hardware Robotics and AI

Lightweight Models for Real-Time Inference on Robotic Edge Hardware

Deploying ML models on robots requires a different mindset than cloud inference: power budgets, thermal envelopes, and strict latency.

6 min read Apr 10, 2025 Worksprout Research Team
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Getting Started with ROS 2 on Embedded Linux Systems Robotics and AI

Getting Started with ROS 2 on Embedded Linux Systems

How to set up, configure, and run ROS 2 on resource-constrained embedded Linux targets — from cross-compilation and DDS tuning …

10 min read Sep 22, 2024 Worksprout Team
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Computer Vision for Robotics: Object Detection with YOLOv8 and Depth Cameras Robotics and AI

Computer Vision for Robotics: Object Detection with YOLOv8 and Depth Cameras

How to combine YOLOv8 real-time object detection with RGB-D depth cameras to build spatial perception pipelines for robotic manipulation and …

11 min read Nov 08, 2024 Worksprout Team
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Biomedical AI: Wearable Health Monitoring with Embedded Devices and Machine Learning Robotics and AI

Biomedical AI: Wearable Health Monitoring with Embedded Devices and Machine Learning

How to design embedded wearable systems for continuous health monitoring — signal acquisition, noise filtering, and on-device ML for heart …

10 min read Jan 25, 2025 Worksprout Team
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Lightweight Neural Networks for Edge Inference: MobileNet to TinyML Robotics and AI

Lightweight Neural Networks for Edge Inference: MobileNet to TinyML

A practical guide to deploying neural networks on embedded hardware — model architecture selection, quantisation, pruning, and benchmark frameworks from …

10 min read Feb 28, 2025 Worksprout Team
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Building Real-World Training Datasets for Robotics with Web Scraping and Synthetic Data Robotics and AI

Building Real-World Training Datasets for Robotics with Web Scraping and Synthetic Data

Practical techniques for collecting, cleaning, and augmenting real-world training datasets for robotics vision tasks — combining ethical web scraping, synthetic …

9 min read Apr 05, 2025 Worksprout Team
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