Our Mission

At ISL Lab, our mission is to develop AI-based intelligent systems capable of human-level cognitive and decision-making capabilities. These systems can be applied to autonomous vehicles, robotics, and any other AI-driven technologies.
Our research follows a structured progression: Initially, we refine the traditional perception-prediction-planning (3Ps) decision-making pipeline in a modular manner. Next, we work towards integrating these modules, leveraging multimodal data such as visual, linguistic, and motion information. Ultimately, we aim to lead a paradigm shift towards world model, pushing the boundaries of intelligent AI systems.

Research Topics

We cover a wide range of research areas related to perception, prediction, and planning. The following are some of our key research topics, but our work is not limited to these.

Future Prediction
- Forecasting future states of environments, objects, and agents
- Applications: autonomous driving, robotics, human behavior prediction
Human Motion Modeling
- Understand and predict human movement and intention
- Applications: human-robot interaction, augmented reality, sports analytics
Perception
- Understand environmental information from sensory inputs (camera, LIDAR, etc)
- Applications: autonomous systems, surveillance
Planning
- Decision-making frameworks for AI agents in dynamic environments
- Applications: motion manipulation of robots and path planning in autonomous driving
Multi-modal Learning
- Integration of diverse data modalities (vision, language, motion)
- Applications: human-AI interaction, autonomous systems, cognitive AI
E2E Autonomous Driving
- Integration of Perception, Prediction and Planning

Advisor Professor : Park, Daehee
Intelligent Systems and Learning Lab. Homepage