
DexRobot Unveils Full Dexterous Hand Series and New DexTele Teleoperation System at Automate 2026
Quick Answer
DexRobot showcased its Full Dexterous Hand Series and the DexTele Teleoperation System at Automate 2026, emphasizing practical and affordable solutions for advanced manipulation and data acquisition in industrial automation.
Quick Take
The event highlighted the integration of AI-driven technologies, making them ready for real-world applications.
Key Points
- DexRobot's Full Dexterous Hand Series enhances manipulation capabilities for industrial applications.
- The DexTele Teleoperation System facilitates remote operation with high fidelity.
- Automate 2026 featured a dedicated Humanoid Robot Pavilion focusing on AI-driven automation.
- The advancements showcased are aimed at making automation solutions more affordable.
- Real-world deployment of these technologies is now more practical than ever.
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~3 min readDexRobot Unveils Full Dexterous Hand Series and New DexTele Teleoperation System at Automate 2026
This year's show features a dedicated Humanoid Robot Pavilion and a sharpened focus on AI-driven industrial automation, making it the ideal venue for DexRobot to demonstrate how advanced manipulation and high-fidelity data acquisition are becoming practical, affordable, and ready for real-world deployment.
At Automate 2026, DexRobot showcases its complete dexterous hand series and debuts the DexTele Teleoperation Data Acquisition System. This year's show features a dedicated Humanoid Robot Pavilion and a sharpened focus on AI-driven industrial automation, making it the ideal venue for DexRobot to demonstrate how advanced manipulation and high-fidelity data acquisition are becoming practical, affordable, and ready for real-world deployment.
A Full Spectrum of Dexterous Hands: From Lab to Production Line
At the heart of DexRobot's exhibit is the complete DexHand series, covering every tier of dexterous manipulation needs. The flagship dual-tendon driven DexHand021 Pro delivers 22 degrees of freedom, a 50N payload, full-palm multi-modal sensing, and over 300,000 durability cycles at one-fifth the cost of comparable systems. The industrial-grade DexHand021 offers 19 DoF, 23 built-in sensors, and tendon-driven underactuation for stable grasping and tool use. The entry-level DexHand021 S (8 DoF, 0.6 kg, open SDK) covers 80% of core hand functions at a cost-effective price point. From cutting-edge research to high-mix manufacturing and education, there is a tailored solution for every need.
New DexTele System: Closing the Loop from Data to Dexterous Execution
Making its show debut at Automate 2026, the DexTele Teleoperation Data Acquisition System represents a major expansion of DexRobot's ecosystem. The system deeply integrates teleoperation hardware, force-controlled humanoid robotic arms, high-degree-of-freedom dexterous hands, and a professional data platform--ready to use out of the box with no secondary development required on structure, electrical systems, communication, teleoperation algorithms, or data pipelines. It supports teleoperation and multi-modal data acquisition across full-range complex postures with high precision and low latency, covering tactile, joint, pose, vision, and depth data modalities.
Together, the DexHand series and DexTele form an integrated "hardware + data + toolchain" ecosystem that directly addresses automation's growing demand for scalable, AI-enabled manipulation and high-quality training data. By closing the loop from demonstration to execution, DexRobot equips manufacturers, researchers, and educators with the tools to bridge the gap between simulation and physical reality--driving productivity, innovation, and workforce transformation.
Visit DexRobot at Booth 33030 to experience dexterous robotics that bring human-like capability to the factory floor and beyond.
About DexRobot:
DexRobot is an embodied AI robotics company focused on dexterous manipulation, developing general-purpose intelligent dexterous operating systems with multi-modal tactile-visual perception.
— Originally published at roboticstomorrow.com
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