Research
Research
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DGIST joins Korea’s InnoCORE — our lab seeks talented postdocs in SLAM, 3D vision, and VL navigation
Our Current Research Interests
Our Current Research Interests
- 1. State estimation and Mapping algorithms for Wheeled and Humanoid robots.
SLAM 2.0 for Robot Web era
Neural Map Representations
Semantic and Social context-aware Visual Language Navigation
- 2. AI in the Physical World
Reasoning Capabilities for Robots
Generative AI for Mobile Robot Navigation
World Models in AI
Our Methodological Expertise
Our Methodological Expertise
Sensor Fusion and
Large-scale Navigation
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
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
Robot Mapping Meets Foundation World Models
Mission: SLAM helps foundation models, and vice versa
Constructing a positive feedback cycle between SLAM (world data producer) and large world models (world data consumer)
Research Statement
Research Statement
A 5-year (2025 - 2029) plan would follow this RS (research statement). Please refer to it.
DGIST_GiseopKim_ResearchPlan_5page_ver_for_share.pdfPage updated
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