Kaibo Zhang

Northeastern University, Beijing University of Civil Engineering and Architecture

Papers

Total Citations

H-Index

About

Kaibo Zhang is a robotics researcher focused on advancing human-robot interaction through intelligent perception and autonomous navigation. His work spans grasp detection, mobile robot tracking, and cloud-based control systems. Zhang’s most notable contribution is the development of MCT-Grasp, a novel grasp detection framework that integrates multimodal embedding with a convolutional modulation transformer. This work, which has already garnered 7 citations since its 2024 publication, addresses a critical challenge in enabling robots to perform precise, markerless grasping—a foundational capability for assistive and service robotics. Earlier, Zhang designed an indoor omnidirectional mobile robot capable of autonomously following a target without requiring the person to wear any markers or sensors, a breakthrough that simplifies real-world deployment. He also developed an interactive control system that leverages cloud services to recognize human movements, allowing mobile robots to follow or evade actions intuitively. With over 20 total citations across his key publications, Zhang’s research is laying practical groundwork for robots that can see, understand, and respond to human intent in dynamic indoor environments.