Yimu Tech has completed a Series E funding round exceeding 1 billion yuan, pushing its valuation past 10 billion yuan. The company's proprietary bionic visuotactile sensor has been reduced to under 3mm thick—the thinnest mass-producible sensor globally—with 90% of core tactile metrics matching human-level performance.
Funding Overview: Top-Tier Capital Bets on Embodied Intelligence Tactile Perception
In July 2026, Yimu Tech, a leading player in embodied AI tactile perception, announced the completion of its Series E funding round exceeding 1 billion yuan, with a post-money valuation surpassing 10 billion yuan. The round was backed by a consortium of top-tier RMB funds, leading U.S. dollar funds, and prominent industry investors. Proceeds will fuel R&D in embodied AI tactile perception materials, chips, algorithms, and models, alongside the mass production and high-quality delivery of production line orders.
Yimu Tech's funding trajectory reflects sustained capital market confidence in the embodied intelligence sector. From early technology validation to current large-scale mass production, tactile perception—as the critical "last mile" capability for robots—is approaching an inflection point for industrial explosion.
Core Technology: World's Thinnest Mass-Producible Bionic Tactile Sensor
Yimu Tech specializes in embodied AI tactile perception. Its flagship product, the bionic visuotactile sensor, has achieved multiple breakthrough specifications:
- Sensor thickness reduced to under 3mm, making it the thinnest mass-producible bionic visuotactile sensor globally
- Resolution exceeding 10,000 points, capable of capturing microscopic surface deformations
- Milligram-level force precision, with force resolution of 0.005N
- Industrial lifespan exceeding 1 million presses
- 90% of core tactile metrics matching human-level performance
This breakthrough effectively solves the long-standing hardware bottleneck in dexterous hands—sensors that were simply too thick to fit into robotic fingers.
| Technical Metric | Yimu Tech Sensor | Industry Typical Range |
|---|---|---|
| Sensor Thickness | <3mm | 5-10mm |
| Resolution | >10,000 points | 1,000-5,000 points |
| Force Resolution | 0.005N | 0.01-0.05N |
| Industrial Lifespan | >1 million presses | 500K-800K presses |
| Human-Level Tactile Metrics | 90% | 60%-75% |
Three-Layer Architecture: From Tactile Data to Robot Intelligence
Yimu Tech has constructed a three-layer technical architecture around its sensor, transforming tactile sensation into a capability robots can understand and deploy:
Layer 1: Tactile Data Acquisition and Standard Dataset Construction
By deeply integrating with mainstream technologies like UMI, DexUMI, and Ego, the system records the force required to manipulate different objects in real-world scenarios, along with tactile feedback signals from both successful and failed tasks. Essentially, this builds a high-quality "tactile textbook" library for robots.
Layer 2: Proprietary Tactile Transformer Encoder Algorithm Module
Acting as a "translator," it extracts critical information—surface morphology, material hardness, texture smoothness or roughness—from raw signals captured by diverse hardware, then converts them into a universal encoding. This ensures downstream robot strategy models can interpret and utilize the data regardless of the underlying tactile sensor hardware.
Layer 3: Multimodal Embodied AI Large Model Training
Encoded multidimensional tactile data is fused with visual and linguistic inputs, filling the long-standing tactile perception gap in robotic manipulation. This foundation enables training complete models capable of perception, decision-making, and action, resulting in more precise and reliable robot operations in the real world.
Commercial Footprint and Ecosystem Collaboration
Yimu Tech's commercial footprint spans multiple sectors globally, including humanoid robotics, automotive, data acquisition, pharmaceuticals, and food processing. The company offers not just sensor hardware but a physical interaction data solution designed to evolve continuously.
In ecosystem building, Yimu Tech is collaborating with top-tier international institutions like Stanford University on TouchNet, an open-source tactile dataset project. The goal is to release more real-world tactile data by the end of 2026, giving researchers and engineers low-cost access to data for algorithm testing and driving the industry forward.
For the automotive industry chain, Yimu Tech's tactile perception technology has broad application potential in smart cockpit interaction, autonomous driving sensor fusion, and production line quality inspection. As humanoid robots accelerate deployment on automotive factory assembly lines, high-precision tactile feedback will become a critical technology for ensuring assembly quality and safety. For more automotive industry technology trends, visit EX1000.COM.
