首页|Researcher at Southern University of Science and Technology (SUSTech) Has Publis hed New Data on Robotics (Proprioceptive learning with soft polyhedral networks)
Researcher at Southern University of Science and Technology (SUSTech) Has Publis hed New Data on Robotics (Proprioceptive learning with soft polyhedral networks)
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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 originating from Guangdong, People's Republic of China, by NewsRx correspondents, research stated, "Proprioception is the "sixth sense" that detects limb postures with motor neurons." Funders for this research include National Natural Science Foundation of China; The Science, Technology, And Innovation Commission of Shenzhen Municipality; Gua ngdong Provincial Key Laboratory of Human-augmentation And Rehabilitation Roboti cs in Universities. The news journalists obtained a quote from the research from Southern University of Science and Technology (SUSTech): "It requires a natural integration between the musculoskeletal systems and sensory receptors, which is challenging among m odern robots that aim for lightweight, adaptive, and sensitive designs at low co sts in mechanical design and algorithmic computation. Here, we present the Soft Polyhedral Network with an embedded vision for physical interactions, capable of adaptive kinesthesia and viscoelastic proprioception by learning kinetic featur es. This design enables passive adaptations to omnidirectional interactions, vi sually captured by a miniature high-speed motion-tracking system embedded inside for proprioceptive learning. The results show that the soft network can infer r eal-time 6D forces and torques with accuracies of 0.25/0.24/0.35 N and 0.025/0.0 34/0.006 Nm in dynamic interactions. We also incorporate viscoelasticity in prop rioception during static adaptation by adding a creep and relaxation modifier to refine the predicted results."
Southern University of Science and Techn ology (SUSTech)GuangdongPeople's Republic of ChinaAsiaEmerging Technolog iesMachine LearningNano-robotRobotics