Article
Robotics
Zhijun Li, Xiang Li, Qinjian Li, Hang Su, Zhen Kan, Wei He
Summary: This article proposes a novel hierarchical human-in-the-loop paradigm to provide suitable assistance powers for cable-driven lower limb exosuits, improving human walking performance over different terrains.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Chemistry, Analytical
Dilruba Mahmud, Sean T. T. Bennett, Zhenhua Zhu, Peter G. G. Adamczyk, Michael Wehner, Dharmaraj Veeramani, Fei Dai
Summary: Exoskeletons and exosuits have the potential to reduce the risk of work-related musculoskeletal disorders in construction workplaces. However, the knowledge required for the acceptance and application of this technology is still lacking. This research aims to identify the facilitators, barriers, and corresponding solutions to foster the adoption of exoskeletons in construction workplaces.
Review
Engineering, Biomedical
Elena Bardi, Marta Gandolla, Francesco Braghin, Ferruccio Resta, Alessandra L. G. Pedrocchi, Emilia Ambrosini
Summary: Soft robotic wearable devices, known as exosuits, have great potential for daily upper limb support as an alternative to rigid exoskeletons. This review explores the current approaches in design and production steps, focusing on different actuation types and intention detection strategies to support key joints such as elbow and shoulder.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Review
Biotechnology & Applied Microbiology
Athar Ali, Vigilio Fontanari, Werner Schmoelz, Sunil K. Agrawal
Summary: Back support exoskeletons are being developed to support the spine and distribute the spine load, aiming to reduce lower back pain and musculoskeletal injuries for workers engaged in physical workload and manual material handling tasks. However, various technical challenges and a lack of established safety standards limit the widespread adoption of exoskeletons in industry.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Chemistry, Analytical
Mikkel Berg Thogersen, Mostafa Mohammadi, Muhammad Ahsan Gull, Stefan Hein Bengtson, Frederik Victor Kobbelgaard, Bo Bentsen, Benjamin Yamin Ali Khan, Kare Eg Severinsen, Shaoping Bai, Thomas Bak, Thomas Baltzer Moeslund, Anne Marie Kanstrup, Lotte N. S. Andreasen Struijk
Summary: This paper presents a novel assistive upper limb exoskeleton called EXOTIC, which provides unprecedented versatility and control for individuals with complete functional tetraplegia. The study incorporates both technical aspects and practical application requirements, and the EXOTIC was successfully tested on able-bodied individuals as well as users with tetraplegia caused by spinal cord injury. The results indicate the usability and effectiveness of the EXOTIC for assisting daily activities.
Article
Robotics
Xiaowei Tan, Bi Zhang, Guangjun Liu, Xingang Zhao, Yiwen Zhao
Summary: This article introduces a time-independent exoskeleton control system that enables users to retain full control over the assistance provided by the exoskeleton. The control system utilizes a novel assistance profile generation method and an iterative force control method to continuously adjust the assistance based on the user's movement. Experimental results demonstrate the effectiveness of the proposed control system compared to a common time-dependent control system.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Chemistry, Analytical
Maxwell Kennard, Hideki Kadone, Yukiyo Shimizu, Kenji Suzuki
Summary: This paper introduces a passive exoskeleton device aimed at supporting individuals with cerebral palsy who experience crouch gait. The device successfully reduced hip joint angle and muscle co-activation index for a pilot user, indicating its potential in addressing crouch gait symptoms. Further improvements in activation timing and device training are necessary for better user support.
Article
Robotics
Rachel Gehlhar, Je-han Yang, Aaron D. Ames
Summary: The study introduces a model-dependent prosthesis control method that relies on real-time force sensing for stability assurance. Experimental results demonstrate that this force-based control method outperforms similar controllers on different terrains.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Automation & Control Systems
Maxwell Kennard, Keisuke Yagi, Modar Hassan, Hideki Kadone, Hiromi Mochiyama, Kenji Suzuki
Summary: This article presents a study on the performance of a semiactive lower back support exoskeleton. The device utilizes a magnetorheological fluid to add a resistive force to the hip joint, helping to prevent injuries caused by fatigue and improve overall performance for workers. Analysis using a biomechanical model shows that the device significantly reduces muscle activation and energy consumption during the lifting cycle.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Health Care Sciences & Services
Hassan Izzeddin Sarsak, Claudia von Zweck, Ritchard Ledgerd
Summary: This study aims to understand the global role of occupational therapists and examine factors influencing user access to high-quality, affordable wheeled and seated mobility device (WSMD) provision worldwide. The results suggest that WSMD provision is positively associated with certification, higher service funding, higher country income, standardized training, continuous professional development, higher experience, higher user satisfaction, custom-made device provision, higher staff capacity, and more time working with users. However, there are negative associations with high cost of WSMDs and pre-made device provision.
Article
Robotics
Marko Jamsek, Tjasa Kunavar, Urban Bobek, Elmar Rueckert, Jan Babic
Summary: The exoskeleton control method utilizes probabilistic movement primitives to predict user movements and provides assistance to users through a velocity-field-based controller. The evaluation demonstrates accurate prediction of user intentions and a significant reduction in physical effort.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Review
Chemistry, Analytical
Monica Tiboni, Alberto Borboni, Fabien Verite, Chiara Bregoli, Cinzia Amici
Summary: Exoskeletons, which closely interact with humans, have been increasingly used for rehabilitation, assistance in daily activities, performance augmentation, and haptic devices. This review investigates the research activity on exoskeletons with a focus on sensor and actuation technologies. The study analyzes the temporal distribution of scientific publications and the characteristics of exoskeleton designs, actuation methods, and sensors. The development and trends of exoskeleton actuation and sensing solutions are also examined.
Article
Engineering, Mechanical
Amit Nirmal Cuttilan, Rainier E. F. Natividad, Raye Chen-Hua Yeow
Summary: This study investigates the effectiveness of a fabric-based pneumatic exosuit in reducing discomfort and lumbar muscle activation in healthy individuals who are performing manual-handling tasks. The results show that the exosuit can reduce lower-back muscle activation while maintaining comfort and mobility. Participants also perceived the suit to be easy to use and not limiting manual-handling tasks.
Article
Computer Science, Information Systems
Yang Zhang, Mathieu Bressel, Sander De Groof, Francois Domine, Luc Labey, Laurent Peyrodie
Summary: This paper presents a novel lower-limb exoskeleton design for children, with adjustable size to suit children from 8 to 12 years old. The exoskeleton employs six active joints on the knee and hip, actuated by Brushless DC motors and Harmonic Drive gears. The controller is based on a finite state machine model and utilizes weight shift between two feet to generate the gait trajectory. An innovative automatic step-triggering mechanism is proposed, based on ground reaction force sensor feedback. User interfaces on the exoskeleton and host PC are designed for easy operation. Experimental results show that the exoskeleton effectively follows the gait trajectory and enables users to complete tasks with reduced effort.
Review
Engineering, Biomedical
P. R. A. N. A. V. M. A. D. H. A. V. KUBER, M. A. S. O. U. D. ABDOLLAHI, M. O. H. A. M. M. A. D. M. E. H. D. I. ALEMI, E. H. S. A. N. RASHEDI
Summary: This study conducted a systematic review of 31 studies to compare the approaches, techniques, and outcomes of field assessments for shoulder and back support i-EXOs. The findings showed that subjective approaches were more commonly reported than objective approaches, and there was high variability in experimental methodologies. A new guideline was proposed for field evaluation of i-EXOs, aiming to improve their testing and implementation.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Robotics
Nicola Lotti, Michele Xiloyannis, Francesco Missiroli, Casimir Bokranz, Domenico Chiaradia, Antonio Frisoli, Robert Riener, Lorenzo Masia
Summary: The present study compared the performance of two different controllers on a wearable robotic suit. The results showed that both controllers were robust and effective in detecting human-motor interaction and had comparable performance in augmenting muscular activity. However, the model-based myoelectric control outperformed the force control in promptness and assistance during high dynamic movements.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Robotics
Enrica Tricomi, Nicola Lotti, Francesco Missiroli, Xiaohui Zhang, Michele Xiloyannis, Thomas Muller, Simona Crea, Emese Papp, Jens Krzywinski, Nicola Vitiello, Lorenzo Masia
Summary: This study developed a soft wearable exosuit to assist hip flexion during walking, utilizing underactuation and a control algorithm to provide flexible assistance. Preliminary results demonstrated good performance and potential for future clinical and wellness applications.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Robotics
Marek Sierotowicz, Nicola Lotti, Laura Nell, Francesco Missiroli, Ryan Alicea, Xiaohui Zhang, Michele Xiloyannis, Rudiger Rupp, Emese Papp, Jens Krzywinski, Claudio Castellini, Lorenzo Masia
Summary: Transparent, precise, and intuitive control of hand exoskeletons in the field of rehabilitation robotics is still a challenge. This study presents a compliant, actuated glove with a control scheme that detects the user's motion intent using a machine learning algorithm based on muscle activity. The results show that the glove's active assistance can reduce muscular activity and that closed-loop control of a compliant assistive glove can be successfully implemented using a machine learning algorithm.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Editorial Material
Automation & Control Systems
Francesco Missiroli
Summary: Transitioning from university to a company is always challenging, as it involves deciding whether to pursue a specific field of study or start a business based on personal developed ideas or technologies.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Editorial Material
Automation & Control Systems
Francesco Missiroli
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Article
Computer Science, Cybernetics
Elisa Galofaro, Erika D'Antonio, Nicola Lotti, Fabrizio Patane, Maura Casadio, Lorenzo Masia
Summary: This study investigates the dynamic interaction between hands during bimanual object manipulation using two impedance-controlled exoskeletons. The results show differences in force asymmetries and timing between right-handers and left-handers, which are influenced by handedness preference and object design.
IEEE TRANSACTIONS ON HAPTICS
(2023)
Article
Robotics
Enrica Tricomi, Mirko Mossini, Francesco Missiroli, Nicola Lotti, Xiaohui Zhang, Michele Xiloyannis, Loris Roveda, Lorenzo Masia
Summary: In this study, a hip exosuit controller was developed to classify different walking terrains using an RGB camera and modulate assistance accordingly. The results showed that the controller was able to accurately classify the path in front of the user in real-time and provide appropriate assistance. The use of computer vision significantly improved metabolic savings compared to when the exosuit was disabled or when vision was turned off. These advancements have important implications for the utilization of lightweight walking assistive technologies in real-life scenarios.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Biotechnology & Applied Microbiology
Daniele Borzelli, Sergio Gurgone, Paolo De Pasquale, Nicola Lotti, Andrea d'Avella, Laura Gastaldi
Summary: This study compared the EMG-to-force mapping estimation performed with standard multiple linear regression and three other algorithms. The results showed that linear regression with anatomical constraints was the best solution.
BIOENGINEERING-BASEL
(2023)