2022 Conference Schedule (Tentative)

Last updated on 27 September 2022
The information contained herein is subject to change without prior notice. We will keep updating programs in the coming days, please check back again.
Day 1: Tuesday, 11 October 2022
10:30 Opening remarks
10:40 Emg-based lower limb exoskeleton control ASELSAN A.Ş / TURKEY
10:55 Neural plasticity and emotional state evaluation during ragt on cp patients UNIVERSITY G. D'ANNUNZIO CHIETI-PESCARA / ITALY
11:15 Application of e-textiles and smart materials with innovative design in health augmented systems CENTI – CENTRO DE NANOTECNOLOGIA E MATERIAIS TÉCNICOS, FUNCIONAIS E INTELIGENTES / PORTUGAL
11:40 Lightweight deep learning-based error mitigation for assistive exoskeleton UNIVERSITY OF STUTTGART / UNITED STATES
12:00 Break
13:30 Learning, understanding, predicting, informing: how artificial intelligence turns robotic exoskeletons into fully-fledged workplace safety assistants GERMAN BIONIC / GERMANY
13:55 Adaptive, robotic liner for prosthetic limb fitting IMPERIAL COLLEGE LONDON / UNITED KINGDOM
14:25 Back-support exoskeleton for working assistance IDSIA USI/SUPSI /SWITZERLAND
14:55 Break
15:30 Prospective data acquisition for industrial exoskeletons – the study approach of exoworkathlon® IFF, UNIVERSITY OF STUTTGART AND FRAUNHOFER IPA / GERMANY
15:55 Integration and evaluation of an exoskeleton system with motion sensors for occupational risk analysis via mobile application INSTITUTO DE BIOMECÁNICA DE VALENCIA / SPAIN
16:15 User command interface (uci), adaptable setup system for industrial exoskeletons ISTITUTO ITALIANO DI TECNOLOGIA / ITALY

17:00 End
Day 2: Wednesday, 12 October 2022
09:30 Opening remarks  
09:40 Altered brain and Corticomuscular dynamics in Stroke patients performing Overground Walking UNIVERSITY COLLEGE DUBLIN / IRELAND
10:10 Wearable robots mediating ensemble physical interaction SHIRLEY RYAN ABILITYLAB / UNITED STATES
10:40 Challenges of implementing an exoskeleton-based rehabilitation facility in Canada: clinician perspectives from device application to commercial availability UNIVERSITY HEALTH NETWORK, UNIVERSITY OF TORONTO / CANADA
11:05 Intuitive control of a soft robotic prosthetic hand with a pFMG-based pattern recognition system UNIVERSITY OF WOLLONGONG / AUSTRALIA
11:45 Break
13:30 ExoPflege – Active Exoskeletons for Highly Stressed Care Sector FRAUNHOFER IPA / GERMANY
13:50 Deployment of a robotized occupational exoskeleton: feedback from the field (2018-2022) INRS / FRANCE
14:20 A soft exoskeleton to support workers in production and logistics TECHNICAL UNIVERSITY OF MUNICH / GERMANY
14:45 MotorSkins: Textiles with embedded fluidics – A fabric based platform for soft-exoskeletons MOTORSKINS / GERMANY
15:10 Benchmarking usability in wearable robotics: Effort towards a shared and applicable terminology REHABILITATION ENGINEERING LABORATORY, ETH, ZURICH / SWITZERLAND
15:35 Design of a compliant antagonistic actuation system for an upper limb exoskeleton TECHNISCHE UNIVERSITÄT ILMENAU, GROUP OF BIOMECHATRONICS / GERMANY

16:00 End


The listing of a proposal does not imply an approval of a presentation. The final programme will be released here closer to the event.

ExoPflege – Active Exoskeletons for Highly Stressed Care Sector
Fraunhofer IPA

In the application-oriented R&D project ExoPflege, an assistive occupational exoskeleton with active shoulder-arm and adaptive trunk module is under development to support nursing staff members in hospitals. The primary goal is to support manual pushing and pulling motions during bed transfer of narcotized patients, an activity that was identified as physically demanding in a preliminary on-site analysis. A biomechanical model-based approach was used to analyze use-cases, as well as to select and optimize the exoskeleton design. The presentation will outline the application requirements, design process and the current status of the prototype development.

Adaptive, Robotic Liner for Prosthetic Limb Fitting
Imperial College London

Problem: “The human body changes shape throughout the day, and prosthetic fittings don’t.” Prosthetic limbs are attached to the residual leg with U-shaped solid structures called sockets. When the leg changes shape, sockets don’t fit anymore and break the skin, making amputees unable to walk for days. Solution: We developed the world’s first robotic liner; Roliner. Roliner is a sleeve-like device worn on the stump before putting the prosthetic limb on. It uses Artificial Intelligence to understand the hourly/daily changes in the stump and adapts to them. Reducing clinical dependency, Roliner’s AI reads real-time sensors’ data between the leg and socket, learns amputees’ comfort preferences via an app; seamlessly and continuously adjust the fitting by inflating/deflating Roliner’s micro-channels. (www.unhindr.com)

Wearable robots mediating ensemble physical interaction
Shirley Ryan AbilityLab

A novel, exoskeleton-based, ensemble interaction infrastructure will be introduced to study haptic ensemble interaction with multiple DOF and multiple contact points by providing virtual connections of varying and controllable impedance between the exoskeleton systems. This infrastructure can be utilized to reveal comprehensive knowledge of how the task performance and motor learning of peers in ensemble haptic interaction are affected by different: 1) haptic interactive behaviors (e.g., collaborative or competitive), 2) impedance of the multi-joint virtual connection, and 3) the skill level of peers (i.e., novice vs. expert). Eventually, the infrastructure can be used to synthesize exoskeleton controllers, with human-like performance. The implementation on lower limb exoskeletons will be presented.

Learning, understanding, predicting, informing: How artificial intelligence turns robotic exoskeletons into fully-fledged workplace safety assistants
German Bionic

Technological innovation and changed perspectives on the value of work and workers are constantly changing our job profiles. The talk focuses on two innovations: powered exoskeletons and AI, which are set to change how we will work in the future. Rather than replacing us, robotic exoskeletons will apply AI to augment us more effectively and increasingly compensate our physical limitations – also helping to ensure workforces remain relevant and healthy for longer. Combining robotic strength and endurance with human intelligence, AI-powered exoskeletons provide an alternative to full automation. The talk will examine the 4 stages of AI implementation: learning, understanding, predicting & informing; to demonstrate how AI & powered exoskeletons will play together to become fully-fledged workplace safety assistants for everyone.

Integration and evaluation of an exoskeleton system with motion sensors for occupational risk analysis via mobile application
Instituto de Biomecánica de Valencia

The objective of the work was to integrate a hybrid wearable that could facilitate physical tasks, and also, that could analyze and alert on risks associated to the development of the tasks. After an ergonomics characterization of workstation, a benchmarking of exoskeletons and sensors, and a review of ergonomic analysis methods: EXOSOFT and Xsens dot sensors were selected and integrated. The methodology of risk assessment selected was the OWAS methodology. A mobile application was created, allowing to have a real time feedback of postures and their risk associated. Also, a validation of the system was carried out: 4 users were measured EMG and MoCap at the laboratory, and 10 users measured in real conditions. A subjective questionnaire was also conducted.

Back Support Exoskeleton for Industrial Operators: SPINExo

The presentation will describe the SPINExo device: SuPport INdustrial opErators Exoskeleton, a back-support exoskeleton (developed by IDSIA USI/SUPSI and Politecnico di Milano). The proposed device allows to relieve the load applied to the backbone of the user while executing working activities, enhanced by its novel spine-based kinematics. Two versions of the device are available: a passive one and an actuated one. The passive device will be analyzed in the presentation, highlighting its main design features. The kinematics of the exoskeleton is scalable and customizable based on the specific user, adapting to the target subject’s back motion. The experimental test and validation of the device have been financed by the EUROBENCH project, under the XSPINE project. The presentation will show both the novel design of the prototype, together with the achieved results during the evaluation phase.

Design of a Compliant Antagonistic Actuation System for an Upper Limb Exoskeleton
Technische Universität Ilmenau, Group of Biomechatronics

The Group of Biomechatronics at the Technische Universität Ilmenau is developing an active exoskeleton for the upper extremity - especially the elbow joint. It is supposed to serve as a a scientific plattform to show the capabilties of exoskeleton technology to prevent musculoskeletal diseases in industrial applications like assembly. Main aspects of the development are a cost-effective design to make exoskeleton technology available for a broader number of users, a user-oriented design and the use of concepts from biorobotics and biomechatronics. Inspired by the biological paragon, the exoskeleton is driven by two antagonistic actuators. Compliant elements are used to increase biocompatibilty and user safety. To achieve an adjustable stiffness of the joint with the antagonistic principle, components with a nonlinear characteristic are needed. In this presentation, the current status of the development of actuation and compliant, nonlinear elements will be explained.

Application of e-textiles and smart materials with innovative design in health augmented systems
CeNTI – Centro de Nanotecnologia e Materiais Técnicos, Funcionais e Inteligentes

The health of patients has increasing concerns in the sector motivating the appearance of powered lower and upper limb devices for human enhancement. The project "SMART-HEALTH-4-ALL | Smart medical technologies for better health and care", specifically the PPS2 – Personal Health Devices, aims to develop innovative solutions for patients with diabetic diagnosis and arm musculoskeletal rehabilitation applying ergonomic standards, active feedback, and a challenging level of technology integration. The smart shoe will be capable of mapping 3D plantar pressures and promote arterial stimulation through controlled vibration in plantar region of patients suffering from diabetic foot syndrome. Additionally, a textile sleeve with flexible electromyography sensors, control electronics, and gamification software has been prototyped, monitoring the upper and forearm muscles strengthening during rehabilitation.

User Command Interface (UCI), Adaptable Setup System for Industrial Exoskeletons
Istituto Italiano di Tecnologia

Industrial exoskeletons present a potential solution to reduce musculoskeletal disorders (MSD) and the risk of injury at work. Researchers and developers face design challenges to optimize the exoskeleton performance when the user interacts with it. In particular, active industrial exoskeletons introduce a challenge for developers since users must have control of certain domains in the exoskeleton. This academic talk presents the research, design and evaluation of a Human Machine Interface (HMI) called User Command Interface (UCI), this is an enhancement solution to adapt exoskeleton systems variability between tasks and users. The system can solve current interaction problems among developers and users such as secure identification, parameter configuration, signal visualization and storage for user specifications.

Challenges of implementing an exoskeleton-based rehabilitation facility in Canada: clinician perspectives from device application to commercial availability
University Health Network, University of Toronto

We propose a discussion on the extent to which currently available overground exoskeletons are versatile enough to accommodate specific demands across different clinical conditions leading to gait rehabilitation. We further address the lack of well-established rehabilitation protocols (e.g., dose and dosage), even when considering a single clinical population, and the limited availability of exoskeletons regulated for clinical use in Canada.

A soft exoskeleton to support workers in production and logistics.
Technical University of Munich

To be accepted by the users on the shop floor, Exoskeletons need to satisfy their needs in terms of high usability and a positive user experience. Focusing on aspects like the users’ wearing comfort, reduction of interaction forces and easy setup, a new concept for a soft exoskeleton that supports the elbow movement during lifting tasks was developed.

Lightweight Deep Learning-based error mitigation for assistive exoskeleton
University of Stuttgart

The SafeLegs is a supportive lower-limb 6-DOF exoskeleton demonstrator equipped with safety features. It is the result of collaboration between Uni Stuttgart and KIT. It consists of six actuators - brushless motors in the hips, knees, and ankles. Sensor signals are providing feedback from the motor encoders to the main system controller via the CAN bus. The SafeLegs is a complex Cyber-Physical System with components that prone to heterogeneous faults. To ensure safety we proposed a Deep Learning-based approach for system failure prevention. We employed LSTM network for error detection and mitigation. Trained LSTM models were quantized and deployed on an Edge TPU. The light weight of the system and minimal power consumption allowed its integration into wearable robotic systems.

MotorSkins: Textiles with embedded fluidics – A fabric based platform for soft-exoskeletons

We present a bio-inspired design approach to a soft-robotic solution for assisting Human movement based on the concept of an Event-Based Energy Cycle (EBEC). The proposed fluid-driven system can harvest energy from the gait, store it, and release it again, thus eliminating the need for external power sources in less demanding applications. We addressed the requirements of each step of the EBEC by exploring the possible design space through systematic material and process-driven experimentations. The resulting fluid-driven proof of concept (PoC) was a single material, single-part “Sense-Acting” system. This PoC was later expanded on and adapted to a textile soft-robotic platform where different actuators and functionalities were characterized, opening the way to more complex assistive solutions.

Altered brain and Corticomuscular dynamics in Stroke patients performing Overground Walking
University College Dublin

Altered ERD/ERS and CMC values are found after using Exo bionics Exoskeleton for walking assistance in stroke population. There is not an overall correlation between the gait-parameters improvement provided by the Exoskeleton device and the improvement (changes) observed from ERD/ERS and CMC. A different neural processing is observed in healthy-controls after using the Exoskeleton, this effect is associated with a different ERD/ERS pattern.

Benchmarking usability in wearable robotics: Effort towards a shared and applicable terminology
Rehabilitation Engineering Laboratory, ETH, Zurich

Wearable robotics (WR) are showing outstanding improvements in technical features, but their daily life usability is often limited. A core issue is a lacking understanding of the term usability, leading to a scattered landscape of definitions and evaluation methodologies to address the essential design criteria. To compare and improve the usability of WR devices, we, as a community, need to reach a consensus on what usability is, so we can choose the appropriate tools to assess it. We propose a set of 43 usability attributes identified in current WR practice and provide definitions validated by an international community. This work contributes to our efforts in creating a platform to support WR benchmarking, linked to the website: www.usabilitytoolbox.ch

Prospective data acquisition for industrial exoskeletons – the study approach of EXOWORKATHLON®
Iff, University of Stuttgart and Fraunhofer IPA

Industrial exoskeletons have recently gained importance as ergonomic interventions for physically demanding work activities. Due to the growing demand for exoskeletons, there is a need for new knowledge on the effectiveness of these systems. The EXOWORKATHLON®, as a prospective study approach, aims to assess exoskeletons in realistic use cases and evaluate them neutrally as a whole. For this purpose, three realistic Parcours and corresponding assessment methods were defined and have been carried out since then. The three defined Parcours so far include realistic use cases from logistics, automotive assembly, and welding. The study approach, the Parcours, and the assessments will be presented, including the latest results.

Neural plasticity and emotional state evaluation during RAGT on CP patients
University G. d'Annunzio Chieti-Pescara

Robot-assisted gait training (RAGT) is a rehabilitation tool for gait refinement of individuals with neurological disabilities, especially of children with cerebral palsy (CP). The effectiveness of the therapy is linked to the patient's participation during the treatment, which is mainly due to her/his emotional state. This study investigates functional plasticity by functional near infrared spectroscopy and the psychophysiological state in children with CP using thermal infrared imaging. The results showed that RAGT produces changes in brain activity in both the motor and frontal cortex and an increase in the skin's thermal response as the sessions progress, thus suggesting an improvement in the child's motor control and attention during the gait, accompanied by an increase in participation and acceptance of therapy.

EMG-Based Lower Limb Exoskeleton Control

Recent technological improvements, particularly in mechatronic systems and materials, have advanced the development of lower limb exoskeletons. However, efficient use requires autonomous adaptation, predicting the user's intended motion and biomechanical changes in lower limb joints, i.e., position and torque estimation. For that purpose, recent studies have focused on using electromyography (EMG) signals. By utilizing time and frequency domain features extracted from EMG signals as input, deep and machine learning-based architectures, e.g., artificial neural networks, support vector machines, have showed to be efficient for accurate predictions. Nevertheless, proposed structures can be improved, serving commercialized product adaptation. Within this context, feature extraction and EMG implementation methods require further research studies in order to achieve reduced computational complexity and real-time applicability.

Intuitive control of a soft robotic prosthetic hand with a pFMG-based pattern recognition system
University of Wollongong

There is growing interest to use soft robotic hands for prosthetic purpose due to their low-lost, light-weight, and safe interaction compared to current prosthetic hands based on rigid robotics. Our soft robotic prosthetic hands are 3D-printable with monolithic structures and integrated with soft sensors as part of their mechanical structure. The integration of soft sensors enables direct transition between different hand gestures, which greatly differs from the commercial hands requiring a neutral position (generally hand-opening) before starting a new gesture. Compared to sEMG, pressure-based FMG sensors (patent pending) are advantageous in decoding user intention from muscle activities due to low cost, stable signals, less signal processing, and light-weight. Together with a pFMG-based pattern recognition system, our hands will provide more intuitive and robust control for prosthetic hand users.

Deployment of a robotized occupational exoskeleton: feedback from the field (2018-2022)

Summary A civil engineering company co-designed a robotic exoskeleton with to decrease the employees exposition to high biomechanical constraints related to mechanical or automated tasks. The French Institute of Health and Safety (INRS) is following this company by for 4 years (2018-2022) aiming to understand and optimize the process of integration and employees’ acceptance of this specific device. This follow-up was carried out using the INRS tools, which are available to companies and occupational health specialists. This longitudinal follow-up highlighted the importance of scientific and technical education about this type of technology at different levels of the organization: individual, collective and organizational. Our communication will consist of presenting the results of the exoskeleton integration project follow-up.




  • Tuesday, 11 October 2022: from 10:00 to 18:00
  • Wednesday, 12 October 2022: from 10:00 to 17:00
  • WISTA Management Conventions. Rudower Chaussee 17, 12489 Berlin, Germany.

Academic Talks Free of charge for up to 25 minutes including Q&A
Product Demos Speakers will be charged 580,-€ (VAT excluded) for up to 30 minutes including Q&A

  • There is no submission fee.
  • Proposals must be submitted using the online form. Upon submitting a proposal, you will receive an automatic confirmation for your records if it was submitted successfully.
  • EXO Berlin reserves the sole right to accept or reject any proposal received without liability.
  • EXO Berlin does not pay for a speaking fee. Travel related expenses, meals and accommodations are the responsibility of the speaker.


  • Complimentary full registration for the conference and exhibition.
  • Abstract book entry at no charge.
  • Free guest tickets to invite audiences.
  • Speaker Certificate in digital format.


Conference language is English.

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