首页|Researchers at University of Texas San Antonio Target Robotics (Fedhip: Federate d Learning for Privacy-preserving Human Intention Prediction In Human-robot Coll aborative Assembly Tasks)

Researchers at University of Texas San Antonio Target Robotics (Fedhip: Federate d Learning for Privacy-preserving Human Intention Prediction In Human-robot Coll aborative Assembly Tasks)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out ofSan Antonio, Texas, by NewsRx editors , research stated, “Human -robot collaboration is a promising solution to reliev e construction workers from repetitive and physically demanding tasks, thus impr ovingconstruction safety and productivity. Many studies have developed various deep learning models for humanintention prediction, which will form the basis f or proactive and adaptive robot planning and control toenable intelligent human -robot collaboration.”

San AntonioTexasUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Texas San Antonio

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.11)