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2026-10-18 · SundayDaily briefing

RoboSignal Daily · 2026-10-18 · Sunday

ROBOSIGNAL

Issue 19182026-10-18Sunday
5events5sources0first-party announcementsAbout 7 minutes to read
Lead story

Industrial Scenario Needs for Embodied Intelligence: Doku Robotics Offers Answers with Over 5000+ Deployments

Doku Robotics unveiled its full line of embodied intelligent robotics products at the recent industrial expo, including joint modules, force-controlled mechanical arms, and humanoid robots, with applications in semiconductor, welding, and automotive sectors. The company emphasizes its technical capabilities, industry experience, and real-world deployment, supported by product specifications and application demonstrations.

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Research

High-tech Robotics — WeChat

Industrial Scenario Needs for Embodied Intelligence: Doku Robotics Offers Answers with Over 5000+ Deployments

Doku Robotics unveiled its full line of embodied intelligent robotics products at the recent industrial expo, including joint modules, force-controlled mechanical arms, and humanoid robots, with applications in semiconductor, welding, and automotive sectors. The company emphasizes its technical capabilities, industry experience, and real-world deployment, supported by product specifications and application demonstrations.

RoboSpeak — WeChat

Jilin University Team Releases Y-Hand M2, the Globally Highest Degree-of-Freedom Biomimetic Dexterous Hand

The Y-Hand M2 biomimetic dexterous hand, developed by Professor Ren Lei's team at Jilin University, is currently the globally highest-degree-of-freedom biomimetic hand with 38 degrees of freedom. It achieves high flexibility and compliance through biomimetic tensile-compression robotic technology, successfully completing 33 types of human-like dexterous operations with a success rate of 96%. The product has already entered mass production and is applied in multiple fields such as intelligent manufacturing and healthcare.

QbitAI — Robotics on WeChat

Two Unitree G1 Robots Play Table Tennis Doubles: PingpongDuo Enables Humanoid Team Coordination

A research team from Shanghai Chuangzhi College, Yuance Future, Hong Kong University, and NVIDIA has developed PingpongDuo, a system that enables two Unitree G1 humanoid robots to perform table tennis doubles. The system combines perception, team coordination, and whole-body motion control, using reinforcement learning for planning and risk assessment. Real-world testing showed improved performance over traditional rule-based strategies, with the robots achieving 18 consecutive alternating returns in a human-robot doubles match.

New Atlas — Robotics

Wound-helix robot leaps and bounds over obstacles

Researchers from UCLA and the University of Michigan have developed a frog-like robot that uses flexible rods to snap between shapes, enabling it to hop over obstacles, climb steps, and swim. The robot outperforms rigid-legged designs in speed and adaptability across various surfaces, offering potential applications in search-and-rescue and inspection tasks.

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