Robotic Touch Tech Startup Raises Seed Funding

Perception Era Technology, a nascent firm focused on endowing robots with sophisticated tactile capabilities, has successfully closed a seed funding round totaling over ten million USD. The investment was spearheaded by Songhe Capital, signaling strong confidence in the company's innovative approach to robotic sensing.

The newly acquired capital will be strategically deployed to establish pilot production lines, accelerate the refinement of its core multi-modal electronic skin technology, and expand its engineering team. This infusion of resources is critical for Perception Era Technology as it transitions from advanced research and development to scalable commercial deployment of its advanced tactile sensing systems.

Founded in late 2025, Perception Era Technology positions itself as a foundational provider for robotic tactile infrastructure. The company's proprietary multi-modal electronic skin, coupled with specialized tactile sensing hardware and AI algorithms, aims to equip robots with a comprehensive sense of touch, a crucial element for advanced robotic applications. The venture is led by Professor Liu Ruiyuan, a distinguished figure from Soochow University, whose extensive research in flexible electronics and intelligent sensing provides a robust scientific bedrock for the company's innovations.

The broader robotics industry, particularly the burgeoning field of embodied AI, is at a pivotal juncture. While impressive laboratory demonstrations are frequent, the practical integration of robots into complex real-world environments—such as manufacturing, logistics, and healthcare—is hampered by the limitations of current sensory feedback. Tactile perception, in particular, remains a significant bottleneck, preventing robots from performing delicate manipulation tasks that require nuanced physical interaction.

Current robotic tactile solutions often rely on single-point sensors, offering limited data on pressure or position. These systems fall short of replicating the rich sensory input of human skin, which can simultaneously detect pressure, texture, temperature, and shear forces. Perception Era Technology's approach tackles this deficit by developing a large-area, flexible, and multi-modal electronic skin that mimics human tactile capabilities, enabling robots to better understand and interact with their physical surroundings. This advancement is vital for tasks ranging from handling fragile objects to navigating unpredictable terrains.

The company's flagship product is an elastic, bio-inspired electronic skin designed for seamless integration onto complex robotic surfaces. Unlike rigid sensors, this flexible skin can conform to intricate geometries like robotic fingers and limbs, offering extensive coverage and a stretchability exceeding 400%. Rigorous testing has validated its durability, with over a million cycles of reliable operation. This innovative skin integrates the simultaneous collection of diverse sensory data, including pressure, slip, temperature, and texture, all processed within milliseconds, offering a level of detail previously unattainable.

Professor Liu highlighted the integrated material and process design as a key differentiator. Instead of layering single-function sensors, Perception Era Technology embeds various sensing materials directly into an elastic substrate during fabrication. This allows for spatially partitioned sensing units on a single skin, avoiding the signal distortion and cross-talk inherent in stacked sensor arrays. The inherent elasticity of the material further enhances accuracy by mimicking the graded mechanical response of human skin, providing precise force feedback based on deformation levels.

Beyond hardware, Perception Era Technology incorporates AI, including transfer learning algorithms, to interpret the rich sensory data. This enables robots to extract fundamental physical properties of objects and adapt to novel items by leveraging prior knowledge. This closed loop of data acquisition, feature extraction, and model migration empowers robots with not just perception, but also understanding and decision-making capabilities, a significant leap towards truly intelligent robotic systems.