NSF-CNPq Collaborative Research: Multiagent Collaborative and Adversarial Planning, Execution, Perception, and Learning

NSF-CNPq 协作研究：多主体协作和对抗性规划、执行、感知和学习

• 批准号: 9900298
• 负责人: Manuela Veloso
• 金额: $ 15万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2006-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9900298&HistoricalAwards=false
• 关键词: NSF; CNPq; Collaborative; Research; Multiagent

Abstract IIS-9900298Veloso, ManuelaCarnegie Mellon University $150,000 - 36 mos. (joint funding with CISE CNPq and International Program)NSF-CNPq Collaborative Research: Multi-Agent Collaborative and Adversarial Perception, Planning, Execution, and LearningThis is a three-year standard award. This project aims to investigate a concrete spectrum of issues of relevance to the development of teams of complete robot agents in dynamic, real-time, and adversarial environments. The proposed research will investigate and develop agents that are: (1) autonomous - with on-board sensing, planning, and acting, (2) efficient - capable of achieving specific goals under time and resource constraints through the integration of deliberative and reactive planning, (3) cooperative - capable of collaborating with each other to accomplish tasks that are beyond individual's capabilities, and (4) adaptive - capable of learning from experience by refining their individual and collaborative action selection preferences.This multi-agent robotic research will be carried within the context of robotic soccer. The robotic soccer domain introduces many specific research topics, including: (i) complete integration of perception, action, and cognition in a team of multiple robotic agents; (ii) definition of a set of robust reactive planning behaviors for individual agents (each agent should be equipped with skills that enable it to effectively perform individual and collaborative actions); (iii) reliable, real-time and active visual perception, including tracking of multiple moving objects and prediction of object movement; (iv) multi-agent strategic reasoning. The proposed work will build upon the research experience of theU.S. research group on planning and learning and on the Brazilian research group on real-time perception.

Abstract IIS-9900298Veloso，ManuelaCarnegie Mellon University $150，000 - 36 mos.（与CISE CNPq和国际项目联合资助）NSF-CNPq协作研究：多智能体协作和对抗 感知、规划、执行和学习这是一个为期三年的标准奖项。该项目旨在研究与动态，实时和对抗性环境中完整机器人代理团队的发展相关的具体问题。拟议的研究将调查和开发的代理人是：（1）自主-具有机载传感，规划和行动，（2）高效-能够通过深思熟虑和反应规划的整合在时间和资源限制下实现特定目标，（3）合作-能够相互合作以完成超出个人能力的任务，和（4）自适应-能够从经验中学习，通过完善他们的个人和合作的行动选择偏好。机器人足球领域引入了许多具体的研究课题，包括：（i）在多个机器人代理的团队中完全集成感知，动作和认知;（ii）为个体代理定义一组鲁棒的反应规划行为（每个代理人都应具备技能，使其能够有效地开展个人和协作行动）;（iii）可靠、实时和主动的视觉感知，包括跟踪多个移动物体和预测物体移动;（iv）多智能体战略推理。拟议的工作将建立在美国的研究经验。此外，还与规划和学习研究小组以及巴西实时感知研究小组进行了合作。