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RESEARCH PROJECTS & TEAM

Robot Perception & IoT

Builds a heterogeneous robot IoT perception architecture using multimodal AI sensing and edge computing for real-time collaborative awareness.

Robot Perception & IoT

Related
Technology
Multimodal Joint Perception AI Fusion Technology Heterogeneous Robot IoT Edge Computing

Research Project

Heterogeneous Robot Teamwork Through VR Control

This subproject focuses on remote control, task collaboration, and wireless communication for multi-robot teams, establishing a VR operation system that supports collaborative work among heterogeneous robots. The system enables the operator to control different platforms through intuitive hand gestures in an immersive interface, while using a digital twin to understand each robot’s position, status, and task relationships in real time. The overall architecture emphasizes functional task allocation and communication capability, allowing the robot team to exchange control commands, image streams, and status information within the same network, while each platform retains its own computation and execution capabilities. The project has been validated on multiple robotic platforms and has completed load testing of compressed RGB-D streams from multiple robots, confirming that the system can support multi-robot data transmission. This system is expected to serve as a foundation for robot collaboration, allowing additional robots to be integrated into the same robot team at lower cost in the future.

Project Details

Principal Investigator

Ching-I Huang Assistant Professor

Research Field: robot-learning methodologies and virtual reality technologies aimed at enhancing human-robot cooperation

PI Details

Research Project

Collective Collaborative Power Saving

This sub-project develops a resource allocation and communication scheduling mechanism centered on "extreme power saving" for Robotic IoT. By analyzing environmental and task requirements, the system intelligently dispatches workloads, transferring power-intensive tasks to fully powered devices. This significantly reduces the overall energy consumption of mobile robots, resolves the pain point of premature battery depletion, and extends the operational time and lifecycle of the system.

Project Details

Principal Investigator

Kuang-Hsun Lin Assistant Professor

Research Field: 6G Mobile Network, MAC Protocols, Energy Efficiency, Mobility Management, Non-terrestrial Network

PI Details