Research at ASL

Exploring the systemsthat sense, think, and act.

Research at Advanced System Lab connects intelligent algorithms, sensing, electronics, navigation, software, and human-centered systems to investigate challenging engineering problems.

Research philosophy

Strong research begins with good questions and grows through experimentation, engineering, and evidence.

We approach research as a process of understanding, building, testing, validating, and contributing useful knowledge.

Our direction

Our work sits at the intersection of intelligent computation, sensing, positioning, perception, embedded technology, and human activity.

Rather than treating each discipline independently, we explore how different technologies can work together to understand and solve complex problems.

The result is a research environment where algorithms, sensors, software, hardware, and experiments inform one another.

Research areas

Six areas.
One connected research ecosystem.

Each area represents a distinct direction, but many of our research problems naturally connect multiple areas together.

01

Robotics & Autonomous Systems

Intelligent robots, autonomous navigation, perception, sensing, and robotic systems.

02

Artificial Intelligence

Machine learning, intelligent decision systems, prediction, classification, and automation.

03

Computer Vision

Visual perception, image understanding, tracking, recognition, and activity analysis.

04

GNSS & Navigation

Precise positioning, RTK, sensor fusion, localization, and navigation technologies.

05

IoT & Embedded Systems

Connected sensing, intelligent hardware, embedded platforms, and edge systems.

06

Human Activity Recognition

Activity recognition, fall detection, and intelligent human-centered sensing.

Cross-disciplinary research

The most interesting problems often live between traditional research boundaries.

Robotics may depend on computer vision. Navigation may require sensor fusion and artificial intelligence. Human activity recognition may combine vision, sensing, embedded systems, and machine learning.

Connected thinking

Research areas are not isolated boxes.

We encourage research that brings together methods, sensing technologies, algorithms, and engineering platforms when the problem demands it.

This allows the lab to approach complex systems from multiple technical perspectives rather than forcing a problem into a single discipline.

Research approach

From curiosity to contribution.

Our research process emphasizes understanding, experimentation, engineering, validation, and clear documentation.

01

Question

Identify meaningful research problems with scientific and engineering relevance.

02

Explore

Study existing methods, technologies, data, and possible technical approaches.

03

Engineer

Develop algorithms, prototypes, datasets, sensing systems, and experimental platforms.

04

Validate

Evaluate ideas through experiments, measurements, comparison, and real-world testing.

05

Share

Document findings through publications, datasets, projects, and research outputs.

Research at ASL-JKKNIU

Ask better questions.
Build better experiments.
Create useful knowledge.

Explore the projects, publications, and people that bring these research directions to life.