Posts Tagged "Robotics"

Robotics Trends presents the Paro Therapeutic Robot

Robotics Trends presents the Paro Therapeutic Robot

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Robotics in neurorehabilitation

How robots can help people who are recovering from a stroke or brain injury.
Video Rating: 5 / 5

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Medical Robotics Bioports to the Human Body

Jacob Rosen [Prof. of Computer Engineering, UC Santa Cruz] Abstract : Medical Robotics is an emerging sub-discipline of robotics in which humans are the focal point of its creation. Humans interact with medical robotics either as health providers such as physicians or as the healthcare recipients – the patients. Introducing a medical robot at the interface between a physician and a patient is based on an understanding of the medical treatment itself and its related biology, physiology and anatomy. Inherent to the field of medical robotics is a unique synergy between medicine, life and health sciences, and many sub-disciplines of engineering. In this talk, two categories of Medical robotics will be explored: surgical robotics and wearable robotics. The operating room of the future is envisioned as fully automated cell that includes only one human being – the patient. The local surgeon will be replaced by a surgical robot that will be teleoperated through wired and wireless communication, from any place around globe. The system will manage all the aspects of surgery, from monitoring the movements of the surgical robot to managing the supply chain. Achieving such a system depends on answering research questions such as what are the physical variables that lead to tissue damage; how to optimize the robotic arms to minimize their footprint in the operating room; how to objective assess surgical skill, and how to control the system from a distance to perform telesurgery. A

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Rehabilitation Robotics: A hybrid brain-robot interface for social interaction

The video shows how the humanoid iCub robot assists people with severe motor control deficits to engage in social interaction without the need for any own movements. The system is based on a brain-robot interface that analyzes human brain signals in real-time and triggers the interaction. The system is hybrid in the sense that unlike many other brain-machine interfaces two different brain patterns are analyzed in parallel and used for different elements of the interaction. Further, the robot is not fully controlled by the interface, but its semi-autonomous behavior is manipulated only when the user needs assistance.

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