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Nicola Lotti

6 accepted papers

2024

Integrating Computer Vision in Exosuits for Adaptive Support and Reduced Muscle Strain in Industrial Environments

Francesco Missiroli, Pietro Mazzoni, Nicola Lotti, Enrica Tricomi, Francesco Braghin, Loris Roveda +1
RA-L 2024

Exosuits are wearable technologies that improve physical capabilities and mobility providing support during various activities. Although primarily intended for medical rehabilitation, there is growing interest in utilizing exosuits in industrial environments to prevent work-related musculoskeletal d

Cited by 14Source ↗Scholar ↗
2023

Environment-Based Assistance Modulation for a Hip Exosuit via Computer Vision

Enrica Tricomi, Mirko Mossini, Francesco Missiroli, Nicola Lotti, Xiaohui Zhang, Michele Xiloyannis +2
RA-L 2023

Just like in humans vision plays a fundamental role in guiding adaptive locomotion, when designing the control strategy for a walking assistive technology, the use of computer vision may substantially improve modulation of the assistance based on the external environment. In this letter, we develope

Cited by 33Source ↗Scholar ↗
2022

EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation

Marek Sierotowicz, Nicola Lotti, Laura Nell, Francesco Missiroli, Ryan Alicea, Xiaohui Zhang +6
RA-L 2022

In the field of rehabilitation robotics, transparent, precise and intuitive control of hand exoskeletons still represents a substantial challenge. In particular, the use of compliant systems often leads to a trade-off between lightness and material flexibility, and control precision. In this letter,

Cited by 49Source ↗Scholar ↗
2022

Enhancing Gait Assistance Control Robustness of a Hip Exosuit by Means of Machine Learning

Xiaohui Zhang, Enrica Tricomi, Francesco Missiroli, Nicola Lotti, Casimir Bokranz, Daniela Nicklas +1
RA-L 2022

Optimally synchronising the assistance provided by wearable devices with the human voluntary motion is still an open challenge in robotics. In order to provide accurate and robust assistance, this paper presents a novel approach that combines a layered implementation of a controller for an underactu

Cited by 16Source ↗Scholar ↗
2022

Rigid, Soft, Passive, and Active: A Hybrid Occupational Exoskeleton for Bimanual Multijoint Assistance

Francesco Missiroli, Nicola Lotti, Enrica Tricomi, Casimir Bokranz, Ryan Alicea, Michele Xiloyannis +4
RA-L 2022

Physically demanding work is still common in western countries, with large proportions of the workforce that are exposed for more than a quarter of their working time to tiring postures or repetitive tasks: the shoulder is one of the main body areas susceptible to work-related musculo-skeletal disor

Cited by 38Source ↗Scholar ↗
2022

Underactuated Soft Hip Exosuit Based on Adaptive Oscillators to Assist Human Locomotion

Enrica Tricomi, Nicola Lotti, Francesco Missiroli, Xiaohui Zhang, Michele Xiloyannis, Thomas Müller +5
RA-L 2022

Reproducing the mechanisms of human locomotion is a hard challenge. Assistive wearable devices in this context need to be lightweight, portable, and to adapt to the wearer’s walking pattern. Aiming to combine the aforementioned features, we developed a soft wearable exosuit to assist hip flexion dur

Cited by 49Source ↗Scholar ↗