
Our soft, multi-layer sensor enables robots to interpret human touch with unprecedented accuracy and nuance.
Inspired by human skin and engineered for robots. Each layer has a specific role. Together they deliver stable, human-like touch perception.

The surface you touch. A soft, durable outer layer tuned for the right feel and finish, with customizable textures, pigments, and compliance.

Where touch becomes data. A high-density capacitive sensor grid that captures contact with fine spatial detail, enabling multi-touch, pressure mapping, and gesture dynamics.

Depth, stability, control. A compliant mechanical layer that spreads pressure and decouples forces, improving measurement stability and making touch feel more natural, especially on curved shells.



Textured, pigmented silicone matching human skin tones. Includes fingerprints, pores, and hair follicle detail for humanoid applications.
The surface finish of the sensor define how contact moves across the skin, including feel, friction, and compliance. Our technology then captures that interaction at high spatial resolution, translating pressure and motion patterns into clean tactile signals.
That stable signal is the foundation the intent processing depends on. With consistent input, we can reliably segment touch episodes and recognize patterns in time and space, rather than reacting to noise or material artifacts. The result is a stream of actionable events your robot can use, from gesture primitives to higher-level intent cues.
It's not just about feeling contact. It's about understanding the meaning behind every gesture. Our pipeline converts rich tactile signals into meaningful interaction events, transforming raw sensor data into actionable insights your robots can understand.
Step 01
The skin captures where pressure lands and how strongly the surface is being engaged.
Step 02
The raw stream is cleaned, windowed, and encoded so noisy contact stops looking like intent.
Step 03
The model emits a compact event the robot can trust, complete with a live confidence score.
Our system learns from recorded human interactions and is validated on robots so it stays reliable outside the lab. It is designed to reduce false triggers and remain stable across different people, contexts, and surface conditions.
Integrate tactile sensing into your robotics platform with real-time touch data streams, gesture event callbacks, and AI-powered intent recognition.
From tactile acquisition to interpreted interaction, the platform combines sensing, embedded processing, and event-level understanding in a single stack for real-world robotic applications.

A modular SDK, structured APIs, and hardware-level access give developers everything needed to prototype, test, and deploy tactile features quickly.
from skin_sdk import Skin
skin = Skin()
skin.start()
event = skin.get_contact()
print(event.type, event.force, event.location)
skin.configure_zones(resolution=256, mode="continuous")
skin.set_callback(on_gesture=handle_touch)Compatible with custom robotic systems, ROS-based development workflows, and multi-language APIs for straightforward deployment across diverse hardware and software stacks.
Each specification reflects a deliberate balance between performance, integration, and durability, so the sensing system can operate reliably across complex robotic surfaces and interaction scenarios.

A thin, compliant sensing architecture designed to integrate into rigid or curved surfaces without adding significant bulk.
Built for precise contact localization and stable force sensing.
Available in three configurations to tune softness, durability, and tactile response for target applications.
Low-power embedded architecture for straightforward integration into robotic systems.
Transforms tactile signals into interpretable interaction events.
Stable operation across demanding thermal conditions.
Note: Specifications may vary depending on configuration and integration requirements. Contact our technical team for detailed datasheets and integration guides specific to your application.
Tell us your platform, surface geometry, and target behaviors. We'll recommend a configuration and next steps.