Feisi Lab Launches Air-Ground Embodied Intelligence Lab to Train Undergraduate Low-Altitude Talent

The Ministry of Education's 2025 undergraduate program work calls for reshaping curricula and teaching content, upgrading existing majors, and cultivating interdisciplinary emerging fields.

China's 2026 undergraduate catalog adds an interdisciplinary category, listing embodied intelligence, low-altitude technology and engineering, and low-altitude economy and management. The entry of low-altitude industry and embodied intelligence into the undergraduate system marks a shift from university-led exploration to national systematic planning.

Low-altitude intelligent talent must combine algorithm development, hardware debugging, and multi-agent collaboration. As teaching scenarios move from single-machine control to air-ground heterogeneous collaboration, the traditional lab model of isolated operation and independent algorithm verification lags behind. Bridging simulation and real-machine gaps and integrating fragmented course knowledge into systematic projects has become a core challenge for universities' practical teaching.

Zhuoyi Intelligent's Feisi Lab offers undergraduate institutions an air-ground collaborative embodied intelligence application lab construction plan, customizable to different teaching and research needs.

The plan focuses on high-level engineering skills in collaborative perception, swarm control, and system integration. It builds on three core values: an air-ground heterogeneous collaboration mode that links UAVs, UGVs, robot dogs, and robotic arms; a theory-virtual-real training chain using software-in-the-loop and hardware-in-the-loop verification to connect simulation iteration with real-machine deployment; and a teaching-research practice carrier supporting course experiments, training, graduation projects, and swarm algorithm research.

The swarm control simulation module includes UAV swarm simulation software V1.0 and a swarm vision and control simulation workstation, enabling students to start from scratch on algorithm development, parameter tuning, and trajectory simulation. The indoor motion-capture swarm control module provides motion-capture cameras, image-solving software, a high-precision positioning workstation, high-speed wireless communication, and swarm control equipment, creating a complete environment for multi-agent positioning, communication, and control. The heterogeneous embodied intelligence carrier module integrates UAVs, UGVs, robot dogs, and robotic arms to build multi-form practice scenarios around collaborative perception, joint operation, and intelligent service.

The plan establishes a four-level progressive training system: software-in-the-loop, hardware-in-the-loop, indoor collaboration, and real-machine application. Standardized experiment routines help students build complete understanding from algorithm design and system verification to engineering deployment. Zhuoyi Intelligent can also use industry resources to offer enterprise internship channels, matching real job needs and extending the education chain into a closed loop covering theory learning, simulation development, hardware verification, real-machine collaboration, and enterprise internship.

The plan has been deployed at multiple universities. Zhengzhou University of Aeronautics' unmanned aircraft systems engineering comprehensive experimental platform can support more than 60 class hours and enable all students to complete flight verification synchronously. Jilin Institute of Chemical Technology has built an intelligent driving unmanned system control experiment base, focusing on a simulation-first, real-flight indoor air-ground collaborative transport teaching system. It achieves real-machine swarm algorithm testing and data review, aiming to become a provincial-level swarm control and collaborative innovation laboratory.

Cross-disciplinary talent training for low-altitude and embodied intelligence requires deep integration of university disciplinary foundations and industrial engineering practice. Feisi Lab draws on its self-developed platform, teaching resources, and industry channels to empower universities across the entire discipline-building chain.