首页|Seoul National University of Science and Technology Researchers Yield New Study Findings on Androids (Haptic interface with multimodal tactile sensing and feedb ack for human-robot interaction)

Seoul National University of Science and Technology Researchers Yield New Study Findings on Androids (Haptic interface with multimodal tactile sensing and feedb ack for human-robot interaction)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in android s. According to news originating from Seoul National University of Science and T echnology by NewsRx editors, the research stated, "Novel sensing and actuation t echnologies have notably advanced haptic interfaces, paving the way for more imm ersive user experiences. We introduce a haptic system that transcends traditiona l pressure-based interfaces by delivering more comprehensive tactile sensations. " The news editors obtained a quote from the research from Seoul National Universi ty of Science and Technology: "This system provides an interactive combination o f a robotic hand and haptic glove to operate devices within the wireless communi cation range. Each component is equipped with independent sensors and actuators, enabling real-time mirroring of user's hand movements and the effective transmi ssion of tactile information. Remarkably, the proposed system has a multimodal f eedback mechanism based on both vibration motors and Peltier elements. This mech anism ensures a varied tactile experience encompassing pressure and temperature sensations. The accuracy of tactile feedback is meticulously calibrated accordin g to experimental data, thereby enhancing the reliability of the system and user experience. The Peltier element for temperature feedback allows users to safely experience temperatures similar to those detected by the robotic hand."

Seoul National University of Science and TechnologyEmerging TechnologiesHuman-Robot InteractionMachine LearningR obotRoboticsRobotsTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.1)