Lena Guinot

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About

Lena Guinot is a pioneering researcher at the intersection of human-robot interaction and assistive robotics, with a focus on developing intuitive control systems that bridge the gap between human intention and robotic action. Her primary research areas include wearable robotic interfaces, implicit robot control methods, and medical robotics for precision interventions. Guinot’s most impactful contribution is the “3D Head Pointer,” a novel manipulation method that enables spatial localization for wearable robot arms through natural head bobbing motions—a breakthrough designed to assist users in performing daily chores like opening an umbrella or stirring a pot while operating a robotic arm concurrently. This work, which has garnered 10 citations, exemplifies her commitment to creating accessible, non-verbal control paradigms. She has further advanced the field by analyzing implicit robot control methods for joint task execution (4 citations), demonstrating how body language can streamline human-machine collaboration. In the medical domain, Guinot developed a needle deflection detection system for CT-guided robots (3 citations), addressing critical challenges in percutaneous puncture procedures. Her research not only pushes the boundaries of assistive technology but also lays the groundwork for more natural, efficient human-robot partnerships in both everyday and clinical settings.