Newton Maruyama
Papers
2
Total Citations
22
H-Index
2
About
Newton Maruyama is a robotics researcher whose work centers on the trajectory planning and motion optimization of wheeled mobile robots. His primary contributions lie in developing algorithms that balance the competing demands of time and energy efficiency, a critical challenge for autonomous systems operating under real-world constraints. His most influential work, "Self-Tuning Time-Energy Optimization for the Trajectory Planning of a Wheeled Mobile Robot" (2018), has garnered 19 citations, reflecting its practical relevance in the field. In this study, Maruyama introduced a self-tuning mechanism that adapts trajectory parameters in real time, enabling robots to dynamically adjust their motion profiles for optimal performance. His earlier foundational paper, "Time-energy Optimal Trajectory Planning over a Fixed Path for a Wheeled Mobile Robot" (2017), established the mathematical framework for minimizing both travel time and energy consumption along predetermined routes. Maruyama’s research is particularly valuable for applications in logistics, warehouse automation, and service robotics, where battery life and mission speed are paramount. His work represents a thoughtful step toward more intelligent, resource-aware autonomous navigation.
Research Focus
Key Achievements
Top Papers
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