91影视RI works on bioinspired underwater robotics, capsule medical robots, exoskeletons and their design, modeling and control for underwater operations, robotics surgery and human joint rehabilitation.
VISUAL-INERTIAL LOCALIZATION AND CONTROL METHODOLOGIES FOR A WIRELESS CAPSULE ENDOSCOPY
Abstract
This project aims to design a new class of active capsule endoscopy device for easy use by medical staff and support mass screening of population on checking colorectal diseases such as colorectal cancer (CRC) that alone affects more than 600000 people yearly worldwide. The project aims to integrated autonomous robotic platforms for navigation of an endoscopic capsule capable to perform painless diagnosis. The project introduces vision and inertial sensing fusion to overcome most of the limitations of current devices and provide registered maps of the colon, captured along the navigation path. These capabilities will provide support for fast and effective diagnosis with use of active capsule endoscopy in clinical routines with the paradigm for painless endoscopy. Robotics, vision processing and human biology are synergistically employed to create dramatic leap forward in current technology, making the endoscopic capsule a solution for current needs in endoscopy and paving the way for a truly life-saving procedure for citizens.
Collaborations:听, Pisa, Italy
Project Fund:听Khalifah University Internal Research Fund (KUIRF) Level 1
People:听
91影视:听Yasmeen Abu-Kheil,听Dr.听Harish听Bhaskar,听Prof. Jorge Dias,听Prof. Lakmal Seneviratne
The BioRobotics Institute at Scuola Superiore Sant鈥橝nna:听Marco Mura,听Dr. Gastone Ciuti,听Prof. Paolo Dario
SHARED AUTONOMOUS MOBILE ROBOT MANIPULATION USING A COMPLIANT EXOSKELETON
Abstract
This project aims at designing a new compliant exoskeleton arm to interface human intelligence in teleoperating and teaching robots in shared autonomous mobile manipulation with applications in hazardous environments, surveillance, and search and rescue scenarios. By designing new compliant joints, human-motion based mechanisms and integrating state of the art electronic and sensing technologies, the new exoskeleton will bring together human鈥檚 cognitive abilities and robotic systems鈥 robustness. This is a typical multi-disciplinary project covering topic from human motion to robots with knowledge from robotics, mechanical, biomedical, electronics and computer engineering.
Collaborations:, Pisa, Italy
Project Fund:听Khalifah University Internal Research Fund (KUIRF) Level 2
People
Khalifah University:听Dr. Dongming Gan,听Dr. Andrzej S. Sluzek,听Dr. Kinda Khalaf,听Prof. Lakmal听Seneviratne,听Prof. Jorge Dias,听Mr. Mohammed Ismail Ahmad Awad
The BioRobotics Institute at Scuola Superiore Sant鈥橝nna:听Prof. Paolo Dario
RECONFIGURABLE EXOSKELETON FOR WRIST-ANKLE TRAINING AND REHABILITATION
Abstract
This project uses a metamorphic parallel mechanism to develop a new reconfigurable exoskeleton platform with motion intension control strategies that will have the flexibility and ability to reconfigure for both wrist and ankle training and rehabilitation for patients after accidents or stroke. In the project, metamorphic parallel mechanisms are investigated to improve the current exoskeleton technologies and specially emphasize the human-robot adaptation with respect to user-requirements and application scenarios. Motion听 intention听 extraction听 algorithms听 of human joints听 from听 noninvasive听 biosignals听 and听 control听 strategies听 of听 the rehabilitation robotic device will also be developed. The reconfigurability of metamorphic mechanisms will be investigated and different mechanism structures will be synthesized and optimized according to the user case requirements. New implementation and control strategies will be developed with much work on motion intention based control.
Collaborations:听Korean Advanced Institute of Science and Technology (KAIST), South Korea; Sheikh Zayed Institute for Pediatric Surgical Innovation, Washington, US
Project Fund:听KU-KAIST Project
People:听Dr. Dongming Gan,听Dr. Kinda Khalaf,听Prof. Lakmal听Seneviratne,听Prof. Jorge Dias