Medical technologies: Robotics and vision
Research Program
Leaders
Where we are
Centre de Recerca en Enginyeria Biomèdica (CREB) UPC
Related websites
Our highly qualified professionals work together with public and private institutions to plan and execute projects such as designing surgical robots or constructing support systems for persons with physical or sensory disabilities.
Scientific objectives
- To develop new control strategies for a more natural and safer human-robot interaction.
- To develop visual algorithms for human motion analysis, which is the basis for identifying orders, posture, intention, actions and activity.
- To develop learning algorithms from images and other sensory information to learn actions by demonstration or by sensory substitution.
- To develop multirobot and person-robot cooperation strategies in shared spaces.
- To parameterise surgical procedures for robotic assistance, to evaluate the quality of human performance (training) or as a preliminary step before automation of a process.
Area/Field of expertise
Our research in medical robotics focuses on four areas: personal assistance, rehabilitation and surgical assistance and training. According to the information provided by multimodal perception, including data from the robot(s), our research aims to interpret the users' intentions, commands or guidance and, where appropriate, the user status. With this information, together with context interpretation and based on multimodal data, cooperative human-robot control strategies can be developed.
Our group includes researchers and undergraduates from different engineering fields, working closely with clinicians and specialists in the various areas. With regards to our more basic research, we investigate new techniques and methods for the intelligent control of robots, and develop solutions for specific applications.
Group members
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Investigador
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Investigador colaborador
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Investigador
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Investigador
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Colaborador externo
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Investigador colaborador
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Jefe de Grupo Senior
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Antonio Benito Martínez Velasco
Investigador
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Investigador pre-doc
Last Publications
- Hernansanz A, Rovira R, Basomba J, Comas R and Casals-Gelpi A EndoTrainer: a novel hybrid training platform for endoscopic surgery. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY . 18(5): 899-908.
- Finocchiaro M, Zabban C, Huan Y, Mazzotta A, Schosteck S, Casals-Gelpi A, Hernansanz A, Menciassi A, Arezzo A and Ciuti G Physical simulator for colonoscopy: a modular design approach and clinical validation IEEE Access . 11: 36945-36960.
- Farahi M, Casals-Gelpi A, Sarrafzadeh O, Zamani Y, Ahmadi H, Behbood N and Habibian H Beat-to-beat fetal heart rate analysis using portable medical device and wavelet transformation technique. Heliyon . 8(12): .
Theses
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US signal and image monitoring and diagnosis using computer vision and deep learning
- Author
- Farahi, Maria
- Institution
- UNIVERSIDAD POLITÉCNICA DE CATALUNYA
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Crutch gait patterns characterization through spatial and temporal parameters
- Author
- Narvaez Dorado, Marien Cristina
- Institution
- UNIVERSIDAD POLITÉCNICA DE CATALUNYA
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Surgical subtask automation for intraluminal procedures using deep reinforcement learning
- Institution
- UNIVERSIDAD POLITÉCNICA DE CATALUNYA
News
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Retaining talent and fostering public-private partnerships, some of the challenges that is facing the HealthTech sector
Xartec Salut has opened the debate on the main challenges of the Catalan ecosystem to become an international reference in the field of health technologies.