Spatial Perception
Robust mapping, localization, and spatial understanding for real-world robotic systems.
Building next-generation embodied spatial intelligence systems for robots that perceive, reason, and act in complex real-world environments.
About
EmSAIL Group focuses on next-generation embodied spatial intelligence systems for robotics operating in complex real-world environments. Our goal is to integrate spatial perception, representation, reasoning, and action into a unified embodied intelligence pipeline.
Research
Robust mapping, localization, and spatial understanding for real-world robotic systems.
Predictive models that support planning, reasoning, and autonomous decision-making.
Learning generalizable robot skills from demonstrations, interaction, and simulation.
People
Principal Investigator
Research interests: Embodied Spatial AI, Robot Learning, 3D Vision
Research Assistant
Research interests: Robot Policy Learning May 2026 - PresentResearch Assistant
Research interests: Vision-Language-Navigation (VLN) June 2026 - PresentResearch Assistant
Research interests: World-Action-Models (WAM) July 2026 - PresentResearch Assistant
Research interests: 4D Perception July 2026 - PresentCo-supervised Ph.D Student with (HIT)
Research interests: SLAM, Scene Representation Jan 2025 - PresentCo-supervised Ph.D Student (XMU)
Research interests: Dynamic Representation, 3D Vision June 2024 - PresentMaster Student
Research interests: Gaussian Splatting, SLAM Sep 2024 - PresentMaster Student
Research interests: Gaussian Splatting, SLAM Sep 2025 - PresentUndergraduate Student
Research interests: Multi-sensor SLAM July 2026 - PresentPublications
Add paper title, venue, authors, PDF, code, and project page links here.
Projects
Unified mapping and representation for embodied agents.
Vision-language-action models for general-purpose robot control.
Reliable transfer from virtual training to physical robots.
News
EmSAIL Lab website launched.
We are recruiting PhD students, MPhil students, research assistants, and interns.
Join & Collaboration
Students with strong backgrounds in robotics, computer vision, machine learning, spatial intelligence, or embedded systems are encouraged to apply.