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About

Francesco Di Tommaso is a researcher advancing the science of wearable robotics and human-robot interaction, with a focus on rehabilitation and balance. His work centers on understanding how exoskeletons and robotic systems alter natural human movement, and how to design them for safer, more effective therapy. A key contribution is the development of **BenchBalance**, a novel benchmarking system for quantifying the balance capabilities of wearable robots and their users—a critical step toward reducing reliance on crutches in overground exoskeletons. He has also conducted foundational biomechanical analyses of exoskeleton-assisted treadmill walking, comparing it to free gait to optimize assistive parameters. With over 25 citations across his top papers, Di Tommaso’s impact is growing, particularly through his innovative use of eye-tracking and HD-EEG to study the role of visual feedback and physiotherapist-patient interaction during robot-assisted gait training. His recent work on uni- and bi-directional haptic interaction during dyadic motor tasks further explores how physical coupling can enhance rehabilitation. By merging biomechanics, neuroscience, and engineering, Di Tommaso is helping to shape the next generation of intelligent, human-centered robotic rehabilitation tools.