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Francesco Missiroli

9 accepted papers

2026

Integrating Artificial Vision and Wearable Robotics: Adaptive Assistance Enabled by Manipulation Context Awareness

ICRA 2026poster

Occupational exoskeletons are emerging as a promising solution for industrial applications, providing support to reduce fatigue and the risk of musculoskeletal disorders. One of the main challenges limiting their widespread adoption is that most existing devices cannot deliver real-time, adaptable, …

Cited by 0Scholar
2026

WearaCob: A Unified Bidirectional Framework for Adaptive Synergy Between Wearable and Collaborative Robotics

RA-L 2026

The advent of Human-Robot Collaboration has redefined industrial automation by reestablishing the human operator as a central agent in shared workspaces. While collaborative robots (cobots) enable safe and intuitive interaction, the parallel rise of wearable assistive devices, such as occupational e

Cited by 0SourceScholar
2025

Soft Wearable Robotic Kit for Forearm Rotation and Grasping Motion Tracking Based on Embedded End-Effector-Level Sensor System

IROS 2025

Patients suffering from neurological and musculoskeletal disorders often experience impaired upper limb function, significantly reducing their quality of life. In recent years, wearable robots have emerged as a promising solution to facilitate rehabilitation and assist in daily activities. Among the

Cited by 0SourceScholar
2024

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

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 14SourceScholar
2023

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

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 33SourceScholar
2022

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

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 49SourceScholar
2022

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

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 16SourceScholar
2022

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

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 38SourceScholar
2022

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

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 49SourceScholar