首页|Data on Robotics Detailed by Researchers at Saarland University (Sensorless Prop rioception In Multi-dof Dielectric Elastomer Soft Robots Via System-level Self-s ensing)
Data on Robotics Detailed by Researchers at Saarland University (Sensorless Prop rioception In Multi-dof Dielectric Elastomer Soft Robots Via System-level Self-s ensing)
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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 ofSaarbrucken, Germany, by NewsRx edito rs, research stated, “Proprioception in soft robots remains an ongoing challenge , owing to practical issues such as tight sensor integration while maintaining m echanicalcompliance. Soft robots based on dielectric elastomer (DE) technology could provide a compelling answerto these challenges, due to the inherent flexi bility and compliance of such transducers as well as theirability to simultaneo usly work as actuators and sensors, i.e., self-sensing.”
SaarbruckenGermanyEuropeEmerging T echnologiesMachine LearningNano-robotRoboticsSaarland University
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