Lynn Masuda

About

Lynn Masuda is a rising researcher in human-robot interaction (HRI), pioneering how robots adapt and collaborate in real-world, unstructured environments. Her work bridges the gap between controlled lab settings and dynamic public spaces, focusing on contextually-adaptive robotic systems. In her highly cited 2023 paper, "Robots in the Wild," Masuda explores how robots can navigate and interact meaningfully in urban public environments, moving beyond traditional algorithmic navigation to embrace social and environmental cues. She further advances collaborative robotics through her 2024 work on dynamically configurable digital twins, enabling safer and more efficient human-robot teamwork in settings like robotic labs. Masuda also pushes creative boundaries with "Reframer-HRC," an AI-powered co-creative drawing system that allows multiple users to collaborate with a robotic arm. Her 2024 paper, "Therblig to Robot," addresses a critical industry challenge: simplifying the programming of industrial cobots for complex tasks without requiring specialist knowledge. Though early in her career, with papers accumulating initial citations, Masuda’s research is already shaping the future of accessible, adaptive, and socially-aware robotics—a field with immense potential for transforming how humans and robots coexist and collaborate.

Research Focus

Key Achievements

Top Papers

1. 1
   Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments

   2 citations · 2023
2. 2
   Designing a Dynamically Configurable Digital Twin for Human-Robot Collaboration Tasks: A Case of Working Environment Configuration for the Robotic Lab

   2 citations · 2024
3. 3
   Reframer-HRC: An AI-based co-creative drawing system with multi-users and a robotic arm

   1 citations · 2025
4. 4
   Therblig to Robot

   1 citations · 2024

Key Collaborators

Contact & Links