Max Robotics — Global Service Robot Directory + US Certification

About

Masumi Ohno’s research centers on the precision and reliability of parallel robots, with a particular focus on the detection and modeling of joint clearances—a critical factor in robotic accuracy. Her most influential work, “Design of target trajectories for the detection of joint clearances in parallel robot based on the actuation torque measurement” (2020, 25 citations), introduces an innovative approach that uses actuation torque measurements to design trajectories that reveal clearance-induced errors. This method enables non-invasive, real-time diagnostics, significantly improving maintenance and performance in high-precision applications. Ohno’s 2018 paper, “Efficient computation of motion error of parallel robots with joint clearances based on joint force model” (2 citations), proposes a groundbreaking technique to compute positioning errors in parallel mechanisms with passive spherical joints, eliminating the need for numerical integration or iterative calculations. This work provides a fast, accurate framework for error prediction, enhancing the design and control of robotic systems. Her 2019 study on trajectory design using a joint impact index further refines detection strategies. Despite a modest citation count, Ohno’s contributions are notable for their practical utility in robotics, offering efficient solutions to longstanding challenges in joint clearance analysis and error compensation.