Max Robotics — Global Service Robot Directory + US Certification

About

Takumi Handa is a robotics researcher focused on human-robot interaction, medical robotics, and remote experimentation systems. His work bridges mechanical design and artificial intelligence to create robots that can perceive, move, and assist like humans. Handa’s most cited paper, “Design and development of 6 DoFs detachable robotic head utilizing differential gear mechanism to imitate human head-waist motion” (2022, 6 citations), introduces a novel robotic head that replicates human neck and waist biomechanics for remote telepresence. He also developed the “Experiment Assisting System with Local Augmented Body (EASY-LAB)” (2021, 5 citations), a system that enhances spatial perception in remote experiments during the COVID-19 pandemic, allowing experimenters to physically interact with subjects beyond standard video conferencing. More recently, Handa’s “Robotic palpation system - reproduction method of dermatologists' skin palpation judgment using a deep neural network” (2024, 3 citations) applies deep learning to replicate dermatologists’ tactile diagnostic skills, addressing the need for contactless medical examinations. With a growing citation record and contributions to both hardware and software for human-centered robotics, Handa is establishing himself as an innovator in assistive and medical robotics, particularly in contexts requiring remote or minimally invasive interaction.