Larry Mastromoro

Next Generation Technology (United States)

Papers

Total Citations

H-Index

About

Larry Mastromoro is a researcher at the forefront of personal robotics, with a focus on multi-modal sensor integration and intuitive human-machine interfaces (HMI). His most-cited work, "Multi-modal sensor and HMI integration with applications in personal robotics" (2015, 7 citations), addresses a critical challenge in the field: making autonomous robots affordable and accessible for individual assistance. Mastromoro’s key contribution lies in synthesizing advances in computer vision, motion planning, and task-oriented algorithms with cost-effective sensors to create robots that can operate intuitively alongside humans. By prioritizing seamless HMI, his research aims to bridge the gap between complex robotic systems and everyday users, enabling robots to perform assistive tasks with minimal training. While his citation count reflects a focused, emerging impact, his work is foundational for the next generation of personal robots—machines designed not for factories, but for homes and human-centered environments. Mastromoro’s research is a vital step toward a future where robots are not just tools, but collaborative partners in daily life.