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II-NEW: A Robot Testbed for Real-Time Motion Strategies and Autonomous Personal Assistants

II-NEW: A Robot Testbed for Real-Time Motion Strategies and Autonomous Personal Assistants
II-新:用于实时运动策略和自主个人助理的机器人测试台
批准号:
1305286
负责人:
Dinesh Manocha
金额:
$33.95万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31
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中文摘要
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英文摘要
This infrastructure proposal supports the acquisition of a personal robot and a high-end multi-GPU workstation to develop a new robot testbed for designing and evaluating the next generation of parallelrobot algorithms and open-source software systems on modern commodity computing platforms. The robotplatform will be based on a Meka M1 robot, a state-of-the-art robot with compliant, dextrous arms pluscamera and range sensors. This robot will be used to develop a new set of motion strategy and planningalgorithms and evaluate the capabilities of the robots for two driving applications: (1) assisting older adultsand people with disabilities with activities of daily living and (2) active tele-presence to give people in aremote environment the ability to physically interact with people in the robot?s environment.This robot testbed could lead to novel technologies for the development of personalrobots for assistance with tasks of daily living and active telepresence. These new capabilities could significantlyimprove the quality of life for the elderly, people with disabilities, and other individuals. The developmentof real-time motion strategies could also benefit other areas, such as surgical simulation, CAD/CAM,virtual prototyping, and virtual reality environments. The software libraries developed under this projectwould be made widely available through the public-domain release for all research and educational activitiesacross science, engineering, and medical domains. Teh research team will also integrate research with education, reach outto under-represented groups via programs such as the IBM-sponsored Girls? summer camps, actively involvingundergraduates in the proposed research, and organizing workshops on many-core computing for real-timemotion strategies. Finally, the team expects the new robotics curriculum enabled by the proposed equipment acquisitionto help increase enrollment in Computer Science.
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EAGER: CPR-COVID-19 Prevention Robot in Dense Areas
  • 批准号:
    2031901
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.0万
  • 财政年份:
    2020
  • 负责人:
    Dinesh Manocha
  • 依托单位:
Travel Support for Workshop on Modeling, Simulation and Visual Analysis of Large Crowds
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