Problem: Imprecise hand data for robotics and AI. Solution: Data gloves that capture fingertips with millimeter accuracy and without delay. Result: Precise teleoperation and improved training data.
AI Models & Foundations
Manus offers one of the most precise solutions for capturing human hand movements. By combining EMF tracking hardware with MANUS Core software, the system solves the problems of occlusion and drift that conventional optical systems often struggle with. For companies in robotics and AI development, it will be an indispensable tool for high-quality data training in 2026. The core problem: Why conventional hand tracking fails. In the world of robotics and virtual reality, accurately capturing finger movements is a huge challenge. Many systems are camera-based (vision-based), but these fail when the hand is obscured or lighting conditions are poor. Other systems suffer from drift, which causes the data to become inaccurate over time. This prevents natural robot control or credible interaction in XR.
Manus addresses these problems through a technological combination of specialized hardware and a powerful software pipeline.
Unlike optical systems, Manus uses electromagnetic fields (EMF). This enables 25 degrees of freedom tracking per hand, which is completely insensitive to occlusion. Whether the hand is behind an object or under a table, the data remains stable.
The hardware delivers data with millimeter accuracy in real time. This is crucial for teleoperation, where a human remotely controls a robot. Every nuance of movement is transmitted instantly, which massively reduces the error rate for complex tasks. Haptic feedback: Models like the Metagloves Pro Haptic offer integrated actuators that give the user a physical feel for virtual objects or the gripping force of a robot. This closes the feedback loop between humans and machines. Practical Applications 2026: Manus' software and hardware are currently used in various high-tech sectors: Embodied AI: Training AI models for humanoid robots through human demonstration. Teleoperation: Remote control of robots in hazardous environments or during surgical procedures. XR Interaction: High-quality simulations for training and design where natural hand movements are required. Pricing and Value Analysis: Manus is clearly positioned in the professional segment. The hardware prices reflect the technological complexity: Metagloves Pro: approx. €4,500 – The standard solution for maximum precision. Metagloves Pro Haptic: approx. €4,500 – Focus on tactile feedback. Quantum Metagloves: approx. €2,500 – The quick-deploy solution for teams focused on speed. Compared to competitors, Manus offers deeper integration into robotics frameworks and more stable data quality, justifying the higher price for industrial and scientific applications.