Shiyong Lan

Papers

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About

Shiyong Lan is a pioneering researcher in multimodal perception and embodied intelligence, with a focus on integrating visual, haptic, and kinesthetic data for advanced object recognition. His most-cited work, "Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer" (2023), introduces a novel framework that fuses sensory modalities using transformer architectures, enabling machines to perceive objects with human-like dexterity. This contribution addresses a critical gap in robotics and human-computer interaction, where traditional vision-only systems fall short in complex, tactile environments. Though early in its impact, the paper has already garnered 5 citations, signaling growing recognition in the field. Lan’s research bridges artificial intelligence and robotics, pushing boundaries in how machines learn from touch and motion. His work holds promise for applications in prosthetics, autonomous manipulation, and assistive technologies. By advancing multimodal learning, Lan is shaping a future where AI systems can interact with the physical world more intuitively and robustly.