SynapX has introduced SYNData, an innovative multimodal data collection system designed to enhance dexterous manipulation capabilities. Launched recently, this system integrates ego vision, electromyography (EMG) signals, and data from exoskeleton gloves, facilitating the scalable collection of human manipulation data essential for advancing robot learning. The development aims to improve the interaction between humans and robots, ultimately contributing to more sophisticated robotic applications in various fields. By harnessing diverse data sources, SYNData promises to provide valuable insights that can drive the evolution of robotic dexterity and functionality.
Education & Research
Human-Machine Interaction
Manipulation & Grasping
Software & Algorithm Provider
Original from PanDaily.com: SynapX Launches SYNData: Multimodal Data Collection System for Embodied AI Era
SynapX Launches SYNData: Multimodal Data Collection System for Embodied AI Era
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Joint University of Pittsburgh and US Department of Veterans Affairs laboratory conducting rehabilitation engineering research. Develops mobility devices, assistive technologies, and medical-grade products for people with disabilities.
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Austria
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Russian leading research university (ITMO University) specializing in information technology, optical engineering, and photonics. Active research programs in AI, robotics, computer vision, and cyber-physical systems.
Patten Studio
United States
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Soul Machines
New Zealand
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United States
Material Handling Equip./Conveyors/Workholding Subscribe for the Latest Automate Show Updates Copyright © 2013-2026 A3 Automate.
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United States
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