MANUS Log in Log in to your account to download your software
MANUS at NVIDIA GTC 2026: From Jensen Huangs Keynote to the Show Floor MANUS at NVIDIA GTC 2026 showcased precision hand tracking as a core input for teleoperation and embodied AI Featured in Jensen Huang’s keynote, integrated with NVIDIA Isaac Teleop and Isaac Sim, MANUS enables scalable robot learning, dexterous manipulation, and sim-to-real data workflows
About Us - MANUS Since 2014, we've evolved from VR gaming gloves to becoming the industry standard for human interaction data collection We discovered that high-fidelity hand tracking data wasn't just valuable for immersive experiences, it was essential for teaching robots how to manipulate objects, training AI systems on human demonstrations, and enabling natural human-machine collaboration From our first
Careers - MANUS At MANUS, every hand movement we capture brings robots one step closer to human-level dexterity Our technology powers the data collection and teleoperation systems that leading AI labs and robotics companies depend on to advance embodied intelligence We're expanding what's possible in manipulation, sensing, and real-world robotics And we're looking for curious, driven people who want to
MANUS in Embodied AI: From Human Motion to Robotic Dexterity Learn how MANUS motion capture technology bridges human dexterity and robotic intelligence, supporting RialTo and V-JEPA 2 training methods that enable robots to learn dexterous, human-like skills and drive progress in embodied AI