Engineering intelligent systems for the real world: ISL advances research in robotics, machine learning, and biomedical sensing while training the next generation of engineers and scientists.
Sim-to-real transfer learning, reinforcement learning for robotic arms, imitation learning, and vision-guided control. Our robots learn from simulation and human demonstration, then operate on physical systems.
Non-invasive blood glucose monitoring using breath volatile organic compounds (VOCs), wearable sensor devices, machine learning models deployed on-device, and clinical data collection pipelines for diabetes management.
Microcontroller-based sensor platforms, RTOS implementations, on-device inference, and low-power systems for real-world health and environmental monitoring.
Deep learning for image classification, diabetic retinopathy detection, autonomous navigation via natural language commands, and vision-language-action integration.
This course covers the fundamentals of robotics and computer vision through a combination of theory and hands-on project work. Topics include forward and inverse kinematics, vision-based detection and control, and reinforcement learning for robotic manipulation. Students apply concepts directly on physical robot arms using industry-standard tools and software. The course is offered at both the undergraduate (EE 473) and graduate (ECE 573) levels, with graduate students completing additional work.
A new robotics and AI lab is currently under development and will be ready for Fall 2026, significantly expanding the hands-on research and teaching infrastructure available to students in this course and across the program.
As of 2026
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ISL welcomes undergraduate and graduate students interested in robotics, AI, sensing, and embedded systems. Positions available through directed study, capstone projects, and thesis supervision.
Learn More →We partner with industry and academic collaborators on applied research in intelligent systems, health sensing, and autonomous robotics. If you see alignment, reach out.
Learn More →ISL operates on a combination of grants, university support, and philanthropic contributions. Equipment donations and targeted gifts directly support student research.
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