Shun-ichi Sekiguchi

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About

Shun-ichi Sekiguchi is a robotics researcher whose work bridges the critical gap between autonomous systems and safe, intuitive human-robot interaction. His primary research areas include human-friendly control systems, non-linear model predictive control (MPC), and vision-and-language manipulation for service robots. Sekiguchi’s most impactful contributions center on designing robots that can proactively and safely operate in human environments. His highly cited work on a “Human-friendly control system design for two-wheeled service robot” (16 citations) demonstrates a novel optimal control approach that prioritizes human comfort and safety. He further advanced this field with his research on “Uncertainty-aware Non-linear Model Predictive Control for Human-following Companion Robot” (16 citations), where he addressed the critical challenge of predicting human walking patterns to enable a robot to maintain appropriate personal space without obstructing the user. This work is essential for developing truly helpful, proactive assistants. Most recently, Sekiguchi has ventured into the intersection of vision and language with his work on “Naming Objects for Vision-and-Language Manipulation” (2 citations), tackling the ambiguity of natural language instructions to ensure robots can correctly identify and manipulate objects as intended. His research is foundational for the next generation of service and companion robots.