首页|Investigators at Sichuan University Detail Findings in Robotics (Touchformer: a Transformer-based Two-tower Architecture for Tactile Temporal Signal Classification)
Investigators at Sichuan University Detail Findings in Robotics (Touchformer: a Transformer-based Two-tower Architecture for Tactile Temporal Signal Classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “Haptic temporal signal recognition plays an important supporting role in robot perception. This paper investigates how to improve classification performance on multiple types of haptic temporal signal datasets using a Transformer model structure.” Financial supporters for this research include Sichuan University Postdoctoral Interdisciplinary Innovation Fund, National Natural Science Foundation of China ( NSFC).
ChengduPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsSichuan University
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