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MoSense Secures Seed Funding for Full-Body Robotic Tactile System

CN2 hr ago

MoSense, a company specializing in full-body, multi-modal fusion tactile solutions, has successfully closed a seed funding round of tens of millions of yuan. The investment was led by prominent firms including Sequoia China, Hillhouse Capital, and ZHIYUAN Robotics. These funds are earmarked for accelerating research and development, expanding the team, increasing computing power, and establishing a robust mass production testing system. Founded in May 2026 and headquartered in Shanghai with an R&D center in Shenzhen, MoSense focuses on developing comprehensive tactile sensing systems for robots. The company's rapid success in attracting investment from leading venture capital and humanoid robot manufacturers within its first month of operation highlights the growing demand for advanced robotic perception.

As humanoid robots transition from demonstration to real-world applications in manufacturing, logistics, and domestic service, robust environmental perception is becoming a critical bottleneck. While vision systems capture environmental data, tactile sensing is essential for robots to understand physical interactions like contact, force, and friction, enabling stable operations and autonomous decision-making. Current industry solutions often concentrate tactile sensors on fingertips or grippers, limiting their utility to localized tasks. MoSense addresses this gap with its MoSkin system, which utilizes electromagnetic metamaterial mechanics to create a flexible, full-body tactile system covering hands, limbs, torso, and feet. This system transforms rigid robot boundaries into continuous six-dimensional force field perception, providing comprehensive multi-modal tactile data for improved motion control and environmental interaction.

The MoSkin solution integrates diverse physical information, including force, temperature, slip, vibration, and material properties, aiming to replicate the sensing capabilities of human skin. Beyond hardware, MoSense is developing multi-modal fusion algorithms to bridge the simulation-to-real gap in robotic learning. Their world action tactile prediction model uses high-frequency tactile feedback to refine low-frequency decision-making processes and incorporate physical prior information, enhancing robots' generalization abilities in complex environments. The founding team comprises Dr. Yan Chaoxu (CEO), a PhD from Hong Kong University of Science and Technology with expertise in microelectronics and sensing; Dr. Zhou Hang (CTO), also from HKUST with a background in autonomous driving and embodied intelligence; and Yang Mujun (CFO), holding a Master's in Economics from the University of Hong Kong with extensive financial experience. Professor Wen Weijia, a distinguished professor at HKUST and a recipient of the National Natural Science Award, serves as Chief Scientist.

AI Analysis

The emergence of MoSense and its full-body tactile sensing technology addresses a critical limitation in the advancement of robotics, particularly for humanoid applications. The company's focus on bridging the simulation-to-real gap through comprehensive physical feedback is strategically aligned with the trajectory of AI development, where embodied intelligence requires nuanced interaction with the physical world. By integrating diverse tactile modalities and developing sophisticated fusion algorithms, MoSense aims to provide robots with a more complete understanding of their environment, moving beyond visual perception to enable safer and more adaptable physical manipulation. This approach is vital for unlocking the potential of robots in complex, unstructured settings, where precise force control and environmental awareness are paramount. The successful seed funding indicates strong market confidence in this direction, suggesting a growing recognition that advanced tactile sensing is not merely an add-on but a foundational requirement for the next generation of intelligent machines.

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Compiled by NewsGPT from 36Kr (CN). Read the original for full details.