The Artificial Hands Area of the BioRobotics Institute pursues research into mechatronics and human-machine interfaces for advanced robotic limbs to be used as thought-controlled prostheses.

Creative engineering design in robotics and biorobotics is a way to bridge research and industrial innovation, to develop acceptable and sustainable robots, and to educate creative students

The neuro-robotics paradigm is a design approach that fuses neuroscience and robotics in order to design and develop advanced robotic devices interacting with human beings

The goal of this research area is to develop a new generation of robot companions, based on supportive technologies that aim to help citizens of all ages, from infants to the elderly

Development of wearable sensor systems to monitor human movement

Soft robotics is an interdisciplinary field in robotics that deals with robots built out of soft and deformable materials capable to actively and safely interact with humans and the environment

Neuroengineering is a novel discipline combining engineering including micro and nanotechnology, electrical and mechanical, and computer science with cellular, molecular, cognitive neuroscience

Current research topics include robotic hands and dexterous grasping, cognitive robotics and human-robot interaction

he mission of the Wearable Robotics Laboratory is the invention, prototyping and clinical validation of wearable robots (also called exoskeletons or powered orthoses) for assisting, rehabilitating or augmenting human movement

We develop and integrate novel transducers, both synthetic and bio-hybrid. We implement neuromorphic systems, with natural spiking coding of tactile information

Study, design, and clinical validation of integrated platforms and intelligent systems to ensure therapy and diagnosis that are effective, reliable, and minimally invasive

The Lab grounds on an interdisciplinary approach merging mechatronics, materials science and molecular biology, to achieve tissue\organ healing and regeneration

We combine Computational Neuroscience methods with Biomedical Engineering and Neuro Robotics

we aim at translating the mechanisms that drive cellular motility into new designs of artificial mobile microrobots, and at realizing microrobotic models for testing hypothesis on specific behaviours in cells

Soft, elastic and deformable systems with variable stiffness are key factors for safe and effective interactions with physical unknown environments, opening to robots a wide range of application possibilities

Robotics, Internet, cloud and mobile technologies for new applications in healthcare, agriculture, logistics and manufacturing assistance to citizens in daily life activities

Brain-inspired models for robot control and their combination with the embodied intelligence of Soft Robots

The aim of the research activities is to unlock the potential of deep learning for the analysis of a wide range of medical images to support clinicians during the actual clinical and surgical procedures

We investigate soft, stretchable, conformable and conductive materials with primary applications as sensors/actuators in biomedicine and robotics. Our goal is to develop sustainable materials and processes for next-generation devices

Development of robotic systems based on functional textile materials for assistance and rehabilitation

We develop organism-robot augmented (eco)systems for studying biological systems complexity, sustainable environmental management, bioinspired engineering, life support in extreme and extraterrestrial environments

We aim to investigate the neuronal code behind complex cognitive functions by combining modeling and machine learning techniques

The Soft NeuroBionics Lab aims to develop cutting-edge technology for functional movement assistance, augmentation, and rehabilitation using soft wearable robotics and advanced neurotechnologies