Bangguo Yu

Bangguo Yu

Postdoctoral Researcher in Robotics

University of Groningen

Biography

I am a postdoctoral researcher in Robotics at the University of Groningen. My research focuses on embodied artificial intelligence, robotic navigation, and multi-robot systems, with an emphasis on visual semantic navigation and the use of large language and vision-language models for robot decision making.

I received my Ph.D. in Robotics from the University of Groningen in 2026, where I was advised by Prof. Ming Cao and Prof. Hamidreza Kasaei. Before that, I received my M.S. in Control Engineering from Shandong University and my B.S. in Automation from Shandong University of Science and Technology.

Interests

  • Embodied Artificial Intelligence
  • Robotic Navigation
  • Multi-Robot Systems
  • Vision-Language Models for Robotics

Education

  • Postdoc in Robotics, 2026.03 - Present

    University of Groningen

  • PhD in Robotics, 2021.11 - 2026.05

    University of Groningen

  • MEng in Control Engineering, 2018.09 - 2021.06

    Shandong University

  • BSc in Automation, 2014.09 - 2018.06

    Shandong University of Science and Technology

Publications

Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation using Vision Language Models

Multi-robot cooperative visual semantic navigation using vision-language models.
Project

PANav: Toward Privacy-Aware Robot Navigation via Vision-Language Models

Privacy-aware robot navigation via vision-language models.
Project

VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation

Vision-language equilibrium search for zero-shot semantic navigation.
Project

L3MVN: Leveraging Large Language Models for Visual Target Navigation

Leveraging large language models for visual target navigation.
Project

Frontier Semantic Exploration for Visual Target Navigation

Frontier semantic exploration for visual target navigation.
Code Project Video

A Bottom-up Framework for Construction of Structured Semantic 3D Scene Graph

A bottom-up framework for construction of structured semantic 3D scene graphs.
Code Video

Skills

Robotics

ROS1, ROS2, SLAM, navigation, embedded systems, PID control

Embodied AI

Visual semantic navigation, object-goal navigation, language-based navigation

Multi-Robot Systems

Cooperative navigation and vision-language model based coordination

Machine Learning

PyTorch, LLMs, VLMs, reinforcement learning

Programming

C/C++, Python, Matlab, LaTeX

Experience

 
 
 
 
 

Postdoctoral Researcher in Robotics

University of Groningen

Mar 2026 – Present Groningen, The Netherlands
Research on embodied artificial intelligence, robotic navigation, and multi-robot systems.
 
 
 
 
 

Research Intern

Tencent Robotics X

Dec 2023 – Apr 2024 Shenzhen, China
Responsibilities include:

  • Achieved state-of-the-art performance in zero-shot object-goal navigation and language-based navigation tasks.
  • Proposed a zero-shot modular framework using game-theoretic vision-language models for visual target navigation with object descriptions.
  • Evaluated the model on wheeled and legged robot platforms and analyzed sim-to-real transfer.
 
 
 
 
 

Research Intern

DMAI, Inc.

Aug 2019 – Jan 2020 Guangzhou, China
Responsibilities include:

  • Designed a bottom-up framework for structured 3D scene graph generation.
  • Modeled objects, relations, and attributes in 3D environments.
  • Verified the method in human-robot interaction tasks.
 
 
 
 
 

Embedded System Engineer

Shandong University

May 2019 – Aug 2019 Jinan, China
Responsibilities include:

  • Designed embedded control board circuits and shells.
  • Used CAN communication with the server to control more than ten boards simultaneously.
 
 
 
 
 

SLAM Algorithm Engineer

Shandong University

Sep 2018 – Apr 2019 Jinan, China
Responsibilities include:

  • Built maps in sparse-feature corridors using 2D laser data and WebSocket-based cloud mapping.
  • Used AprilTag landmarks and Cartographer-based global optimization.

Awards

The 14th China Graduate Electronics Design Contest

National 2nd Prize Aug 2019 – Aug 2019

2nd Prize, Shandong University Scholarship

Shandong University Sep 2018 – Jun 2019

The 17th China University Robot Competition (ROBOCON)

National 1st Prize Jun 2018 – Jun 2018

The 5th and 6th Shandong Provincial Robot Competition

1st Place Jun 2018 – Jun 2018

National Undergraduate Electronics Design Contest

National 2nd Prize Aug 2017 – Aug 2017

Shandong Provincial Challenge Cup Competition

Provincial 2nd Prize Jun 2017 – Jun 2017

The 5th Shandong Provincial University Robot Competition

1st Place Oct 2016 – Oct 2016

The 2nd Shandong SCM Application Design Competition

1st Place Oct 2016 – Oct 2016

The 11th National Undergraduate Smart Car Contest

National 2nd Prize Aug 2016 – Aug 2016

Projects

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All Control System SLAM Reinforcement Learning

Frontier Semantic Exploration for Visual Target Navigation

The priors represented by scene graph are incorporated in deep reinforcement learning model using R-GCN on Habitat platform.

Visual Target Navigation using 3D Scene Priors

The priors represented by scene graph are incorporated in deep reinforcement learning model using R-GCN on Habitat platform.

3D structured semantic scene graph

The semantic environment model of 3D structured scene graph for the implementation of robot task

Object tracking

Object tracking based on IndustriPi

The design of control board

Embedded board with control, hardware and shell

Cloud-based Open loop optimize SLAM

Open loop optimize SLAM based on Cartographer

Robocon robot

China University Robot Competition

Synchronous robot

How to run with a slide bar in two cars.

Ball and Plate Control System

National Undergraduate Electronocs Design Contest

Double Smart Cars

Double cars chase and overtake on the road.