Research Area active February 10, 2026
Computer Vision for Robotics
Developing practical computer vision systems for object detection, scene understanding, and robot-environment interaction in real manufacturing and lab settings.
By Applied Robotics Lab · Updated June 10, 2026
#computer-vision
#object-detection
#robotics
#deep-learning
Research Area
We focus on computer vision systems that are robust and practical — working reliably under real lighting conditions, with varying object appearances, and without expensive ground truth data collection.
Research Topics
Object Detection & Tracking
Real-time detection for robotics manipulation and navigation. We emphasize deployment efficiency alongside accuracy.
3D Print Quality Inspection
Automated visual inspection of 3D printed parts for defects, dimensional accuracy, and surface quality.
Scene Understanding
Semantic understanding of robot environments to enable context-aware task execution.
Methods
- Transfer learning from large pretrained vision models
- Synthetic data generation for domain adaptation
- On-device optimization for edge deployment (Jetson, RPi)