BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Abstract: Tendon-driven robotic and prosthetic hands face sever al mechanical and control challenges, including maintaining consistent ten don tension, balancing motor torque, managing cables, achieving precise mo vement, and preventing mechanical failure. Furthermore, incorporating biol ogical signals, such as electromyography (EMG), for intuitive prosthetic c ontrol presents further challenges. The purpose of this project is to desi gn and develop a fully electric robotic hand and control framework that ca n translate a variety of input signals into precise and responsive movemen ts. The system will be designed to provide consistent control of the robot ic hand which will establish a platform that can ultimately support biolog ical control inputs such as EMG. This system’s performance will be evalu ated based on movement precision, responsiveness, repeatability, and the a bility to produce controlled movement using different types of input signa ls. The robotic hand will integrate motors, encoders, microcontrollers, te ndon-driven mechanisms, and geared transmission systems within a mechanica lly optimized design developed using computer-aided design and additive ma nufacturing. Following construction and integration of the robotic hand, e xperimental testing will characterize its mechanical and control performan ce and identify limitations affecting precise and dexterous movement. The resulting control framework and experimental data will establish a foundat ion for continued research into robotic and prosthetic hand control. This includes the future integration and evaluation of biological control signa ls. The system will additionally provide a platform for subsequent experim entation, academic research, and development of advanced prosthetic contro l strategies.\nEvent page: https://www.umassd.edu/events/cms/9-30-26-getti ng-a-grip.php\nEvent link: https://umassd.zoom.us/j/93841383671?pwd=2NKzi6 vAtyoyyiym03dWNbPV4JqVag.1 X-ALT-DESC;FMTTYPE=text/html:

Abstract:

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Tendon-driven robotic and prosthetic hands face several mechanical and control challeng es\, including maintaining consistent tendon tension\, balancing motor tor que\, managing cables\, achieving precise movement\, and preventing mechan ical failure. Furthermore\, incorporating biological signals\, such as ele ctromyography (EMG)\, for intuitive prosthetic control presents further ch allenges. The purpose of this project is to design and develop a fully ele ctric robotic hand and control framework that can translate a variety of i nput signals into precise and responsive movements. The system will be des igned to provide consistent control of the robotic hand which will establi sh a platform that can ultimately support biological control inputs such a s EMG. This system’s performance will be evaluated based on movement pre cision\, responsiveness\, repeatability\, and the ability to produce contr olled movement using different types of input signals. The robotic hand wi ll integrate motors\, encoders\, microcontrollers\, tendon-driven mechanis ms\, and geared transmission systems within a mechanically optimized desig n developed using computer-aided design and additive manufacturing. Follow ing construction and integration of the robotic hand\, experimental testin g will characterize its mechanical and control performance and identify li mitations affecting precise and dexterous movement. The resulting control framework and experimental data will establish a foundation for continued research into robotic and prosthetic hand control. This includes the futur e integration and evaluation of biological control signals. The system wil l additionally provide a platform for subsequent experimentation\, academi c research\, and development of advanced prosthetic control strategies.

Event page: https://www.umassd.edu/events/cms/9-30-26-getting-a-grip.php< /a>
Event link: https://umassd.zoom.us/j/93841383671?pwd=2NKz i6vAtyoyyiym03dWNbPV4JqVag.1

DTSTAMP:20260910T211558 DTSTART;TZID=America/New_York:20260930T140000 DTEND;TZID=America/New_York:20260930T150000 LOCATION:TEX219 SUMMARY;LANGUAGE=en-us:Getting a Grip: Development and Experimental Validat ion of a Control Framework for Precise and Dexterous Robotic Hand Manipula tion UID:de2d6dafdeeaae50e95b9e27b0044a49@www.umassd.edu END:VEVENT END:VCALENDAR