首页|New Findings from University of Southern California (USC) Update Understanding o f Robotics (Generating Task Reallocation Suggestions To Handle Contingencies In Human-supervised Multi-robot Missions)

New Findings from University of Southern California (USC) Update Understanding o f Robotics (Generating Task Reallocation Suggestions To Handle Contingencies In Human-supervised Multi-robot Missions)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Los Angeles, California, by News Rx correspondents, research stated, “In a mission with significant uncertainty d ue to intermittent communications, delayed information flow, and robotic failure s, the role of human supervisors is extremely challenging. As and when any new i nformation arrives, humans must infer both the existing and predicted future sta tes, identify potential contingencies, and update task assignments to robots rap idly.” Financial support for this research came from U.S. Army Combat Capabilities Deve lopment Command Army Research Laboratory (DEVCOM ARL).

Los AngelesCaliforniaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsUniversity of Southern California (USC)

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.11)