Projects

From research papers to perception systems running on real robots and edge devices.

Robot Perception on the Edge Ongoing
2026

Robot Perception on the Edge

Vision for deployed robots: face recognition and risk-area detection and avoidance, taken from data strategy and training to deployment on edge devices and robot fleets through ROS perception modules. Includes real-time multi-modal sensor fusion for terrain analysis.

By: Wenjin Fu
Efficient On-Device Language Models Published
2025

Efficient On-Device Language Models

Constraint-aware federated learning and system-aware LoRA scaling for language models running under device latency, memory and energy budgets. Two NeurIPS 2025 workshop papers.

By: Wenjin Fu
Unsupervised Defect Detection for Laser Sensors Published
2024

Unsupervised Defect Detection for Laser Sensors

Automated inspection of laser sensor coatings: ROI segmentation, GAN-based synthetic data and an unsupervised normalizing-flow detector, reaching over 92% accuracy, with a 3D-printed Raspberry Pi rig for the production line.

By: Wenjin Fu
Real-Time Debris Detection on Jetson Completed
2023

Real-Time Debris Detection on Jetson

Optimized YOLOv8 to detect plastic, paperboard and foam debris on production lines, deployed on NVIDIA Jetson Nano at 96% AP. Stable Diffusion editing was used to augment rare scenes.

By: Wenjin Fu
Long-Tailed Instance Segmentation with Free Object Segments Published
2022

Long-Tailed Instance Segmentation with Free Object Segments

Learning rare object categories for instance segmentation using freely available object segments. Published at ECCV 2022.

By: Wenjin Fu