Robot Societalization Lab

We study coordination among embodied heterogeneous multi-robot systems—humanoids, quadrupeds, drones, and wheeled platforms that neither share sensory modalities, movement grammars, nor environmental representations. Across this morphological asymmetry, cooperation is not a calibration problem but a foundational challenge: how to negotiate, establish transient trust, form provisional coalitions, and convert irreducible difference from a liability into a structural resource.

Principal Investigator

Yuan Gao

Shenzhen Institute of Artificial Intelligence and Robotics
The Chinese University of Hong Kong, Shenzhen

A single robot is a philosophy embodied. A heterogeneous multi-robot society is where irreconcilable philosophies find sustenance.

Lab Members

Lab Managers & Postdocs

Lin Wang Project Manager

PhD Students

Baozhe Zhang Ph.D. Student baozhezhang.com

My research interests focus on robot motion planning, differentiable trajectory optimization, differentiable physics simulation, and reinforcement learning.

Peng Ju Ph.D. Student

I am a Ph.D. student with research interests in cloud–edge–end co-evolutionary heterogeneous multi-robot systems for city-scale, long-duration tasks, with a focus on the evolution of large language models for task decomposition and collaborative decision-making, as well as the evolution of robot capabilities.

Contact & Location

For collaboration, visiting, or research inquiries, please reach out via the contact page.

Location

Shenzhen, China

Affiliation

CUHK(SZ)

Shenzhen Institute of Artificial Intelligence and Robotics

Status

Recruiting

Postdocs and research assistants are welcome to apply.

Research Focus

Theoretical foundations and technical applications for embodied heterogeneous multi-robot systems.

Agentic Embodied Heterogeneous Multi-Robot Decision Systems

How large foundation models based agents serve as reasoning substrates for multi-robot deliberation—negotiating task decompositions, role assignments, and contingency handling across robots with incommensurable action spaces—while preserving sensorimotor groundedness.

Social Phase Transitions in Urban Heterogeneous Multi-Robot Systems

Mechanisms of social phase transitions and self-organized criticality in city-scale heterogeneous multi-robot systems.

Geometric Percolation and Topological Self-Reconstruction

Theory of geometric percolation and topological self-reconstruction for embodied heterogeneous multi-robot systems under continuous topological damage.

Ethics-Driven System Niche Differentiation Dynamics

Socialist value ethics-driven decision-making and system ecological niche differentiation dynamics.

Cloud-Edge-Terminal Multimodal Robot Teams

Multimodal large model-driven collaborative perception, decision-making, and task adaptation for heterogeneous robot teams in cloud-edge-terminal architectures.

Human-Robot Collaborative Hybrid Intelligence

Enhancing decision-making and execution efficiency through co-perception, collaborative decision-making, and intelligent control for bidirectional human-machine augmentation.