AI & ML interests

MetaSLAM: Target for General AI & Robotic System

Organization Card
About org cards

MetaSLAM: Target for General AI & Robotic System

framework

🙋‍♀️ Introduction to MetaSLAM

In an era where automation and robotics are revolutionizing various industries, MetaSLAM stands at the forefront of innovation, driving progress in field robotics and multi-agent systems. Established as a non-profit initiative under the GAIRLAB (General AI & Robotic Lab) led by Prof. Peng Yin at the City University of Hong Kong, MetaSLAM operates as a collective intelligence framework aimed at enhancing the capabilities of robotic systems during large-scale and long-term operations.

🌈 A Global Network of Excellence

A unique feature of MetaSLAM is its international network that brings together top-tier researchers from around the globe, including a strategic partnership with Carnegie Mellon University. By fostering a collaborative ecosystem, MetaSLAM aims to extend the boundaries of what is currently possible in real-world robotic applications.

👩‍💻 Core Capabilities

MetaSLAM specializes in a range of core approaches that represent the cutting edge in the field:

  • Multi-sensor Fusion-based Localization and Navigation: Utilizing a blend of sensors and algorithms, MetaSLAM offers unparalleled accuracy in robotic positioning and navigation.

  • City-scale Crowdsourced Mapping: With capabilities to aggregate and optimize enormous datasets, MetaSLAM enables accurate and real-time map merging across sprawling urban environments.

  • Multi-agent Cooperation and Exploration: Designed for collaborative efficacy, the system allows multiple robotic agents to work in sync for optimized task performance.

  • Lifelong Perception and Navigation: With a focus on long-term operations, MetaSLAM ensures robots can adapt to their environments over time, improving both perception and navigation.

🧙 Step by Step AGI System Developing

Localization

Mapping

Navigation

Memory

🍿 Empowering Future Research

The ultimate goal of MetaSLAM is to empower researchers and innovators in various domains of field robotics. Its state-of-the-art approaches provide invaluable tools and frameworks that can be customized for a range of applications, from urban planning and disaster recovery to industrial automation and healthcare.

By advancing the capabilities of multi-agent systems and large-scale operations, MetaSLAM is not just setting new benchmarks in robotics; it is shaping the future of how we interact with and leverage robotic technologies in the real world.