Technaid S.L.

How can continual learning improve the control of assistive devices in real-world scenarios? In our latest blog post, we review a very interesting paper on continual learning for bionic limb behavior modeling, a research line that proposes new ways to predict bionic limb kinematics across walking, ramps and stairs.

Beyond the algorithm itself, what makes this work especially relevant is its connection to one of the major challenges in assistive robotics today: building systems that are more robust, adaptive and valid outside ideal laboratory conditions. For those of us working with exoskeletons and robotic research platforms, studies like this reinforce the importance of having versatile devices that can integrate new control models, advanced sensing and real experimental validation.

In the article, we break down the paper’s main contributions and explain why its results may be highly relevant for groups working in exoskeleton research, rehabilitation robotics, gait prediction and human–robot interaction.

You can read the full post on our blog:

https://www.technaid.com/multitask-prospective-rehearsal/

Today we would like to congratulate David Pinto Fernández on the recent defence of his PhD thesis at Universidad Politécnica de Madrid (UPM), carried out within the framework of the Centre for Automation and Robotics (CAR) CSIC-UPM. His work focuses on human–exoskeleton interaction, integrating , and in the context of assistive robotics and rehabilitation.

For Technaid, it is a great satisfaction that our lower-limb Exo-H3 has been part of the experimental platform of the thesis “Monitoring Human-Exoskeleton Interaction with Multimodal Interfaces and AI”, developed within the BioRobotics Group at CAR (CSIC-UPM) and co-supervised by Diego Torricelli and Eduardo Rocon.

The thesis tackles one of the key challenges for the clinical adoption of : having practical and standarised methodologies to assess the quality of human–robot interaction. The work includes a systematic review of the state of the art, the creation of the first open-access multimodal dataset of exoskeleton-assisted gait (motion capture, inertial sensors, physiological signals and forces), and the use of artificial intelligence models to identify which gait parameters best predict functional performance and perceived comfort.

Research like this reinforces the role of the exoskeleton as a key tool for studying , assistance and human–robot interaction. We are looking forward to taking a deep dive into this work so that we can tell you more about it on our blog soon.

Congratulations to David and to the entire CAR CSIC-UPM team for this milestone and for continuing to push the boundaries of . From Technaid, we will keep supporting the community in developing innovative solutions for and human movement.

There’s no better way to start the year than with fresh scientific research featuring our technology. We’ve just added the paper “Characterization of error-related potentials during the command of a lower-limb exoskeleton based on deep learning” to the Publications section of our website.

In this work, by the BMI Systems Lab (UMH Universidad Miguel Hernández ) ,the authors use our lower-limb exoskeleton to study error-related potentials (ErrPs) during brain-machine interface control, applying deep learning methods to improve the detection of erroneous commands. It’s a great example of how exoskeleton robotics, rehabilitation and advanced signal processing come together to build safer and more reliable human–robot interaction.

If you work on brain-machine interfaces, neural decoding or control of wearable robotics, you can now find the full reference on our Publications page at Technaid.



https://zurl.co/w7zh0

We are kicking off the year with some very special news for Technaid and our commitment to technological training for the new generation.

We recently had the honor of showcasing our motion capture technology to members of the Consejería de Economía Empleo y Competitividad (Madrid Regional Government's Department of Economy, Finance, and Employment) during their visit to the CFTIC (Centro de Referencia Nacional en Desarrollo Informático y Comunicaciones)

In the coming academic years, our system system will form part of the equipment at the National Reference Center for Information Technology and Communications of the Community of . We are proud that tools similar to those used in and projects are also being used in the field of advanced training.

We would like to thank both the Regional Ministry and the CFTIC team for their interest in our technology and their confidence in our solutions. We will continue to collaborate to bring innovation in and to the training and business ecosystem in .

From Technaid we want to say goodbye to this year together with all of you. 2025 has been a year of consolidation, new projects and many shared challenges in the field of for human .

Throughout these years, we have continued working to improve people’s quality of life through technologies such as inertial-sensor and lower-limb . Each prototype, each experiment and each clinical collaboration has only been possible thanks to the trust of the researchers, clinicians and partners who walk this road with us.

This journey would not make sense without all the people who have been part of Technaid at some point in time, and without those who today feel involved in our mission to create a world with fewer barriers for our loved ones. To all of you, thank you for your support, your ideas and your commitment to innovation with a human focus.

We look to 2026 with enthusiasm and optimism, ready to keep learning, improving and building the next generation of tools for rehabilitation and movement analysis.

We wish you all a happy 2026!!

The Technaid family.

What happens when you combine a lower-limb , body weight support and pelvis assistance in a single ambulatory system?

In our latest blog post we take a deep dive into the , the platform from the BeST group (URJC ) that integrates the into a modular overground gait rehabilitation system.

If you work on control, assisted standing or robot-assisted gait training, this is a piece you will want to read. 👇

https://zurl.co/6lNaY

NIMBLE gait rehabilitation exoskeleton - Technaid From an engineering point of view, the NIMBLE gait rehabilitation exoskeleton is conceived as a three-layer modular platform.

Today we say goodbye to Yash Bhambhani, who has completed his internship at Technaid after several months of working closely with us. As a PhD student in -machine interfaces from BMI Systems Lab, Yash quickly integrated into our &D environment and brought a strong -oriented mindset to our team.

During his time with us, he contributed to the development and testing of brain-machine interface platforms with several of our devices, helping us explore new ways to close the loop between signals and assisted control. His ability to combine rigorous experimentation with clear and structured analysis has been especially valuable for our ongoing collaborations with the research community.

From all of us at Technaid, thank you Yash for your dedication, professionalism, and curiosity. We wish you great success in your future work in brain-machine interfaces and robotic . We'll keep working!