Spatial Intelligence for Autonomous Robot Navigation
- SLAM 2.0 for Robot Web era
- Neural map representations
- Human-robot interactive visual-language navigation
Research
Current research interests and methodological expertise from APRL.
Our Current Research Interests
Embodied Reasoning and Robot World Models
- Reasoning capabilities for robots
- Generative AI for mobile robot navigation
- World models in AI
Recent Researches
APRL 5-Year Research Statement
Research plan for 2026-2030, including spatial intelligence and autonomous navigation directions.
AIMS Project and Open Position Details
Project overview for multi-robot autonomy, implicit interaction, and memory-augmented spatial intelligence.
Memory-Augmented Spatial Intelligence for Autonomous Robot Navigation
Date: 2026.04.02 · Event/Session: Invited Talk · Host/Venue: Hanyang Univ (ERICA) · Invitation From: Prof. Wansoo Kim.
Our Methodological Expertise
Sensor Fusion and Large-scale Navigation
Mission: map the world with low-cost sensors.
- Enhancing robustness of SLAM and democratizing SLAM cost
Towards SLAM 2.0
Mission: Be a SLAM 2.0 problem owner and leader.
- Defining and addressing next-generation SLAM challenges in a pioneering way
Robot Mapping Meets Foundation World Models
Mission: SLAM helps foundation models, and vice versa.
- Constructing a positive feedback cycle between SLAM as a world data producer and large world models as world data consumers