Which ai models are most popular for object detection?
dd_Growth 2026-10-19 16:08:40 216 Views1 Replies How to use ai in robotic controllers for sensor fusion and anomaly detection without compromising real-time guarantees？
For object detection, YOLO is a strong starting point. RT-DETR offers another real-time detection option. MobileNet-SSD suits resource-constrained embedded platforms.
For robotics, separate AI inference from motor control. Use an edge processor for vision and inference. Keep deterministic control loops on an MCU.
Sensor fusion can use EKF or UKF. Add watchdogs and fallback logic for safety.
Here is an interesting real-world example. Team QBotix – Robocon 2025 uses Jetson Orin Nano for AI vision.
https://www.pcbway.com/project/sponsor/Team_QBotix_Robocon_2025_584e316b.html
An ESP32 handles motor drivers and low-level control. This architecture helps preserve real-time control guarantees.
love.forcircuits 