据《每日航天》4月11日报道
NASA将“小企业技术转化”合同授予了Geisel软件公司和亚利桑那州立大学,合同第一阶段要求识别和开发意图计算与表达的运动规划技术,为月球和行星探测用低基数蜂群航天器(行星探测车和飞行器)的合作运行赋能。这项开拓性技术可通过观察和预测多智能体系统中的智能体运动和意图,为实现无通信协同赋能。具备行为与意图预测能力,可以不受高通信延迟的限制,使太空中的蜂群航天器对地面控制的依赖程度降到最低,实现以自主运行为主。
NASA awards contract for communicationless coordination of robotic swarms
by Staff Writers Worcester MA (SPX) Apr 11, 2021 SPACE DAILY
Behavior and intent estimation capabilities will also remove limitations imposed by high communication latencies, minimizing a swarm’s dependence on ground control and allowing for primarily autonomous operation.
Geisel Software, a Massachusetts-based custom software development firm, and Arizona State University (ASU) are pleased to announce they have been awarded a Small Business Technology Transfer (STTR) contract by the National Aeronautics and Space Administration (NASA).
Phase I will focus on identifying and developing intent estimation and intent-expressive motion planning technologies that enable cooperative operation of low-cardinality swarms of space vehicles (e.g., planetary rovers and flyers) in lunar and planetary exploration missions.
“Geisel Software is excited to be working with ASU on this ground-breaking swarming research for NASA,” commented Brian Geisel, Chief Executive Officer at Geisel Software.
“This is Geisel Software’s second NASA award in the area of swarming robotics and this new research will help take us a step closer to providing swarming solutions that increase the efficiency of space exploration while decreasing the risk to human explorers.”
“My students and I are also very excited to work with Geisel Software to develop the communicationless coordination technologies for NASA and hopefully, to see this technology being deployed in future lunar or planetary missions,” said Sze Zheng Yong, Ph.D. and assistant professor of aerospace and mechanical engineering in ASU’s Ira A. Fulton Schools of Engineering, who will serve as principal investigator.
Yong and his team will work in tandem with Geisel Software engineers to develop technologies that will enable communicationless coordination by observing and estimating the actions and intentions of agents in a multiagent system. The research is pivotal in facilitating the deployment of small, low-cost spacecraft that could transport key sensors and instruments to high-risk environments.
Behavior and intent estimation capabilities will also remove limitations imposed by high communication latencies, minimizing a swarm’s dependence on ground control and allowing for primarily autonomous operation.
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