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CISE Postdoc Research Associates in Experimental Computer Science: Manipulation of Rigid and Deformable Objects with Applications in Manufacturing and Computer-Assisted Surgery

CISE Postdoc Research Associates in Experimental Computer Science: Manipulation of Rigid and Deformable Objects with Applications in Manufacturing and Computer-Assisted Surgery
CISE 实验计算机科学博士后研究员:刚性和可变形物体的操纵及其在制造和计算机辅助手术中的应用
批准号:
0072743
负责人:
Lydia Kavraki
金额:
$6.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2004-08-31

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中文摘要
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英文摘要
EIA-0072743Kavraki, LydiaRice UniversityCISE Postdoctoral Associates in Experimental Computer Science: Manipulationof Rigid and Deformable Objects with Applications in Manufacturing andComputer-Aided SurgeryObject manipulation has been a central theme in robotics over the lastdecade. Efficient techniques have been proposed for positioning,orienting, sorting, etc., rigid objects under a variety of constraints andsensory input. Although several problems concerning rigid parts deservefurther attention, recent advances in manufacturing also require themanipulation of deformable objects such as cables, pipes, paper, etc.,needed for producing compact assemblies. Building on the theory ofmanipulation of rigid objects, the postdoctoral associate will investigatethe manipulation of deformable objects and selected problems involvingrigid object manipulation. The goal is for the associate to assist in (a)developing appropriate computational models for deformable objects, (b)studying fundamental notions such as stable grasping and fixturing ofdeformable objects, and (c) providing efficient procedures to compute theexpected deformations of objects under manipulation constraints. Oneimportant and challenging application of the proposed work is thesimulation of deformable human tissues. Such a simulation can lead to thedevelopment of virtual training environments for surgical procedures.
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A Framework for Manipulation Planning and Execution under Uncertainty in Partially-Known Environments
  • 批准号:
    2336612
  • 项目类别:
    Standard Grant
  • 资助金额:
    $71.53万
  • 财政年份:
    2024
  • 负责人:
    Lydia Kavraki
  • 依托单位:
Collaborative Research [FW-HTF-RM]: The Future of Nurse Training: Robotic Teaching Assistant Systems for Nursing Instructors
  • 批准号:
    2326390
  • 项目类别:
    Standard Grant
  • 资助金额:
    $82.8万
  • 财政年份:
    2023
  • 负责人:
    Lydia Kavraki
  • 依托单位:
Collaborative Research: FW-HTF-R: The Future of Robot-Assisted Nursing: Interactive AI Frameworks for Upskilling Nurses and Customizing Robot Assistance
  • 批准号:
    2222876
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.17万
  • 财政年份:
    2022
  • 负责人:
    Lydia Kavraki
  • 依托单位:
IIBR:Informatics:RAPID: Structure-based identification of SARS-derived peptides with potential to induce broad protective immunity
  • 批准号:
    2033262
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.97万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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