Research
Three connected steps of one loop.

What information is sufficient for reliable energy decisions?
We investigate how incomplete observations affect energy-state estimation and how active sensing can provide decision-relevant information.

How do energy systems respond to changes and actions?
We develop physics-grounded world models to predict energy-system dynamics and action consequences under uncertainty and physical constraints.

How can energy agents act safely and adaptively?
We investigate autonomous, energy-constrained decision-making and control, connecting intelligent planning with physical actions and feedback-driven adaptation.
Flagship Research Scenarios
A unified embodied intelligence framework across diverse energy systems, physical constraints, and feedback dynamics.

Integrating active urban sensing, physics-grounded solar assessment, building-integrated photovoltaics, and adaptive energy management. We investigate how intelligent sensing, physical world models, and autonomous control enable more reliable renewable energy assessment, deployment, and operation in complex urban environments.

Integrating indoor spatial perception, BIM-informed energy–thermal world models, autonomous inspection, and adaptive cooling control. We investigate how intelligent agents interact with physical data center environments to improve energy efficiency, thermal management, and operational reliability.

Investigating autonomous coordination among distributed renewable generation, buildings, energy storage, electric vehicles, and urban energy networks under climate extremes. We study how multi-agent intelligence, physical energy interactions, and adaptive control enhance energy resilience, service continuity, and system recovery.

Exploring the coupling among low-altitude mobility, onboard energy constraints, and ground-based energy infrastructure. We investigate energy-aware autonomous missions, intelligent charging and storage coordination, and adaptive energy management for UAVs, future eVTOL systems, and low-altitude mobility networks.

Exploring embodied intelligence in coupled agricultural energy, environmental, and biological systems. We investigate how intelligent perception, physics-grounded world models, and autonomous physical control can coordinate energy supply, environmental regulation, water use, and crop growth for efficient and adaptive agricultural operations.