Department of Electrical Engineering and Automation

Bionic and Rehabilitation Engineering

Bionic and Rehabilitation Engineering (BaRE) research group investigates engineering techniques for human-machine interfacing in order to support, augment and rehabilitate human motor function. Through advancements in basic physiology, motor control, and biomechanics, we tailor novel biosensing and control approaches, as well as design methodologies in order to push the boundaries of current state-of-the-art bionic limbs, exoskeletons and rehabilitation robots.
Human hand, robot hand

Bionic and Rehabilitation Engineering (BaRE) research group investigates engineering techniques for human-machine interfacing in order to support, augment and rehabilitate human motor function. Through advancements in basic physiology, motor control, and biomechanics, we tailor novel biosensing and control approaches, as well as design methodologies in order to push the boundaries of current state-of-the-art bionic limbs, exoskeletons and rehabilitation robots.

BaRE Research Group is located at the Aalto Health Technology House in Otakaari 3. In this unique environment, the group strives to combine the basic principles of human neuromuscular physiology with modern day technology in order to address some of the major questions in the areas of bionics and rehabilitation. BaRE is strongly committed to translational activities through which it ensures that the conducted research has a direct impact in the clinical and real-world environment.

IBA-setup

Bionic limbs, as a mean of functional restoration of the missing human function as well as human augmentation, are one of our main investigation topics. Through physiologically inspired interfacing links, we are aiming at providing natural and dexterous control of prosthetic systems. Moreover, we are interested in restoring the missing sensory components in order to “close the control loop” and provide an enhanced user experience. Finally, BaRE is focused on the user-centered design and therefore we are investigating the characteristics of clinical and daily application of bionic systems in order to understand and better quantify the performance of the developed solutions.

VR-setup

Wearable robots and robotic rehabilitation is a field in which we are striving to provide state-of-the-art technological solutions in order to deliver tailored therapies and assistance to those in need. Through intimate human-robot interfaces, we are looking to establish a collaborative and stimulating environment that can not only provide the required support, but also deliver highly engaging therapies at home or in clinics. While studying the interaction of the man and the machine at both biomechanical and neural levels, we are aiming to understand how body reacts to the applied technologies. Accordingly, we are looking to devise the best solutions that promote the ultimate synergy between the two.

Bionic and Rehabilitation Engineering research group is led by prof. Ivan Vujaklija ([email protected])

Group members

Latest publications

DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation

M. Doostmohammadian, W. Jiang, T. Charalambous 2023 2022 IEEE 61st Conference on Decision and Control (CDC)

Distributed Resource Allocation via ADMM over Digraphs

W. Jiang, M. Doostmohammadian, T. Charalambous 2023 2022 IEEE 61st Conference on Decision and Control (CDC)

Towards Establishing String Stability Conditions for Heterogeneous Vehicle Platoons under the MPF Topology

Elham Abolfazlilangeroudi, Wei Jiang, Themistoklis Charalambous 2022 2022 European Control Conference, ECC 2022

Co-operative Formation Control of Multiple Unmanned Aerial Vehicles Via Distributive Observer Approach

Rida Anum, Muwahida Liaquat, Victor Sreeram, Umair Zulfiqar 2022 2022 Australian and New Zealand Control Conference, ANZCC 2022

Machine learning based iterative learning control for non-repetitive time-varying systems

Yiyang Chen, Wei Jiang, Themistoklis Charalambous 2022 INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks

Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Themistoklis Charalambous 2022 2022 IEEE Conference on Control Technology and Applications, CCTA 2022

Consensus-Based Distributed Estimation in the Presence of Heterogeneous, Time-Invariant Delays

Mohammadreza Doostmohammadian, Usman A. Khan, Mohammad Pirani, Themistoklis Charalambous 2022 IEEE Control Systems Letters

Distributed Anomaly Detection and Estimation over Sensor Networks : Observational-Equivalence and Q-Redundant Observer Design

Mohammadreza Doostmohammadian, Themistoklis Charalambous 2022 2022 European Control Conference, ECC 2022

Distributed Anytime-Feasible Resource Allocation Subject to Heterogeneous Time-Varying Delays

Mohammadreza Doostmohammadian, Alireza Aghasi, Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Karl H. Johansson, Themistoklis Charalambous 2022 IEEE Open Journal of Control Systems

Distributed CPU Scheduling Subject to Nonlinear Constraints

Mohammadreza Doostmohammadian, Alireza Aghasi, Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Karl H. Johansson, Themistoklis Charalambous 2022 2022 IEEE Conference on Control Technology and Applications, CCTA 2022
More information on our research in the Research database.
Research database
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