Longxuan Ma

Kunming University of Science and Technology

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Total Citations

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About

Longxuan Ma is a rising researcher at the forefront of embodied artificial intelligence, a field dedicated to bridging the gap between disembodied algorithms and intelligent, real-world robotic behavior. His primary research areas span the evolution of AI from perceptive to behavioral intelligence, with a particular focus on how machines can learn to interact with and adapt to their physical environments. In his highly cited 2025 survey, "Embodied AI: A Survey on the Evolution from Perceptive to Behavioral Intelligence," Ma provides a comprehensive roadmap of the field's transformation, tracing the shift from classic, disembodied AI systems—which struggle to operate in the messy, dynamic real world—toward embodied agents capable of perception, action, and learning. This work, already garnering 9 citations, has become a key reference for researchers exploring how robots can achieve human-like intelligence. By synthesizing advances in robotics, computer vision, and reinforcement learning, Ma’s contributions help define the next frontier of AI, where machines not only see and think but also move and behave. His survey is essential reading for anyone interested in the future of intelligent robotics and autonomous systems.