MANUS™ (@manusmeta) 's Twitter Profile
MANUS™

@manusmeta

Industry-leading technology for robotics, motion capture, and XR. Specialized in precise finger tracking to power innovation and realism.

ID: 2580017966

linkhttps://www.manus-meta.com calendar_today21-06-2014 07:21:47

1,1K Tweet

2,2K Followers

190 Following

MANUS™ (@manusmeta) 's Twitter Profile Photo

We’re excited to see @Signvrse in the news! Signvrse embeds real-time sign language access into platforms to make services more inclusive. To accurately digitize sign language, they rely on MANUS and Xsens Entertainment | Movella. Catch them at the 7 minute mark. rtl.nl/nieuws/uitzend…

MANUS™ (@manusmeta) 's Twitter Profile Photo

Ready to take teleoperation to the next level? 🦾 MANUS Core 3.0 now comes with a ROS 2 package, making real-time robotic control smoother and more accessible. It’s never been easier to build sophisticated systems inside ROS-based environments! #robotics

Wevolver (@wevolverapp) 's Twitter Profile Photo

MANUS™ Gloves Enable Precision Hand Tracking for Robotic Applications MANUS gloves provide high-accuracy finger tracking and real-time motion capture, facilitating advanced human-machine interaction. Designed for robotics, the system generates high-resolution motion data in CSV

Humanoid Robotics Technology (@humanoidrtech) 's Twitter Profile Photo

We recently sat down with Peter Hartman, Product Director at Xsens Health & Sports | Movella, to talk about motion capture technology for humanoids. Watch the full video here: humanoidroboticstechnology.com/videos/motion-… #humanoid #humanoids #humanoidrobot #humanoidrobots

MANUS™ (@manusmeta) 's Twitter Profile Photo

Precision meets control! Watch the future of #robotics in action as the ultra-dexterous XHAND1 from @RobotEraX is seamlessly piloted by a MANUS data glove. What tasks would you use this set-up for?

MANUS™ (@manusmeta) 's Twitter Profile Photo

How do you teach a robot to harvest fruit like a human? 🦾 Researchers used MANUS gloves to capture real-world harvesting motions—enabling the design of a soft #robotic gripper that can pick blueberries without damage. 🫐 pmc.ncbi.nlm.nih.gov/articles/PMC10…