THE TACTILE INTELLIGENCE PLATFORM

Every Robot
Deserves to Feel

Give your robots the sense of touch. Sensor skins that ship on a subscription, paired with agentic AI that learns from every grasp, slip, and contact event across your entire fleet.

The skin captures the data. The AI makes it valuable. The fleet makes it irreplaceable.

Explore the Live Platform How It Works →
24
Sensor Zones
268
Taxels per Skin
10Hz
Sample Rate
< 5 min
Install Time
The Problem
Robots can see and hear.
They still can't feel.
Tactile sensing is the missing modality in robotics. Existing solutions are expensive, fragile, permanently installed, and generate zero intelligence.

Today's Reality

Cobots operate at 0.33 m/s without tactile feedback because safety regulations require it. That's 6x slower than their mechanical capability.

When a sensor fails, it's a capital expense replacement that is unbudgeted, unpredictable, and requires specialized installation.

Every grasp, slip, and contact event generates data that goes nowhere. No aggregation. No fleet learning. No AI.

RoboWear's Answer

Consumable piezoresistive sensor skins at 10–100x lower cost that snap on like a second skin and ship on a subscription schedule.

An agentic AI intelligence layer that reasons over live telemetry, predicts failures, and recommends actions through natural language conversation.

An open integration architecture powered by Model Context Protocol that connects any sensor, from any vendor, into a single intelligence platform.

No one else combines real-time tactile visualization, conversational AI over sensor data, and hardware-agnostic multi-vendor integration in a single platform.

RoboWear isn't a sensor company. It's a tactile intelligence platform, an AI-native operating system for the sense of touch.

AGENTIC AI MCP INTEGRATIONS REAL-TIME TELEMETRY AI-POWERED INGESTOR HARDWARE AGNOSTIC DEVKIT FOR RESEARCHERS
Meet Tactile IQ
Ask your sensor data anything. Tactile IQ is an agentic AI embedded in the platform, grounded in your actual telemetry, not generic answers.
💬

Conversational Interface

Ask "Why did the mug slip?" and get answers citing specific sensors, pressures, and timestamps. Clickable references navigate the platform.

🧠

Agentic Reasoning

Autonomously identifies anomalies, predicts sensor failures, recommends grip optimizations, and schedules skin replacements before downtime hits. Session scratchpad maintains analysis state across multi-step investigations.

🔌

MCP-Native Sensor Discovery

Discovers connected MCP sensor servers at startup, lists available tools, and queries any data source on demand. Works with RoboWear skins, third-party F/T sensors, research datasets, and raw CSV streams.

🌐

Fleet Intelligence

Compare your slip patterns against the global fleet. Persistent memory learns sensor-specific patterns across sessions. The Tactile Interaction Atlas makes every answer smarter as the network grows.

Try It Live
Tactile IQ Streaming
Why did the mug slip at frame 162?
The slip originated at RW-F01 (Thumb Tip) where pressure dropped from 82.3 kPa to 23.1 kPa over 200ms. Shear stress spiked to 8.4 mN, which is 3x the stable grip baseline. RW-F04 (Ring Tip) showed correlated decline, suggesting the ceramic surface exceeded the friction threshold at the current grip force. Recommend increasing grip baseline by 15% for smooth surfaces.
Which sensors need replacement first?
RW-F01 is the most urgent with a health score of 15.0, resistance drift at 13.9%, and approximately 27 days remaining. RW-F03 and RW-F04 are close behind. All three are fingertip sensors with 1.8x the degradation rate of forearm zones. On your subscription, replacements ship automatically 14 days before projected threshold.
Connect any sensor.
The AI figures out the rest.
Every sensor vendor gets a dedicated MCP server. Tactile IQ discovers them at startup and queries any source on demand. No custom connectors, no vendor lock-in.
MCP Server

xela-uSkin

3-axis taxel array data via WebSocket. 176-taxel hand configurations with real-time contact mapping, slip detection, and shear force analysis.

get_taxel_readings() get_contact_state() stream_frames()
MCP Server

Robotiq FT 300

6-axis force/torque data via ROS2 WrenchStamped at 125Hz. Impact detection, load transients, and vibration analysis for pick-and-place operations.

get_wrench() get_force_vector() detect_impact()
MCP Server

DIGIT / GelSight

Meta Sparsh dataset replay with tactile images paired with ATI Nano17 force ground truth. Grasp sequence replay across YCB objects with multiple probe shapes.

get_tactile_frame() replay_sequence() list_objects()
MCP Server

RoboWear Native

First-party piezoresistive skin data at 10Hz across 24 sensor zones and 268 taxels. Health scoring, degradation tracking, and predictive replacement scheduling.

stream_telemetry() get_health_score() predict_replacement()
Four layers of
tactile intelligence.
The skin is the wedge. The AI is the moat. Every layer builds on the one below.
Layer 1 — Hardware Wedge

Sensor Skins

Consumable piezoresistive skins generate high-fidelity tactile data at 10Hz across 24+ sensor zones. Designed to wear out and replace on a subscription. The hardware that funds the platform and generates the ground truth data.

Layer 2 — MCP Integration

Universal Sensor Gateway

Model Context Protocol servers for every sensor vendor. Tactile IQ discovers connected servers at startup, lists their tools, and queries any source. The agentic ingestor handles unknown formats automatically. This opens the platform to every robot with any form of touch sensing.

Layer 3 — Agentic AI

Tactile IQ

Conversational AI that reasons over live telemetry, identifies anomalies, predicts failures, and recommends actions. Grounded in real sensor data with specific timestamps and pressures. Streaming, context-aware, with session scratchpad and persistent memory across interactions.

Layer 4 — Data Moat

Tactile Interaction Atlas

The world's largest real-world robotic contact dataset. Aggregated, anonymized fleet intelligence that compounds with every deployment and every connected sensor. Cross-platform diversity from MCP integrations that no single-vendor dataset can match.

How It Works
Snap on. Subscribe.
Never think about it again.
01

Snap On

Modular sensor skins attach to any cobot or humanoid using our universal fit system. No tools, no technician, no downtime. Under 5 minutes to full coverage.

02

Connect

Plug into the Tactile Telemetry Platform. Real-time pressure heatmaps, force analytics, and contact state detection streaming live. Third-party sensors connect via MCP.

03

Ask the AI

Tactile IQ analyzes every grasp, slip, and contact event. Ask questions in natural language. Get answers grounded in your actual sensor data with specific recommendations.

04

Replace

When sensors degrade, a replacement ships automatically. Spent skins go back through SkinCycle for material recovery. Zero waste. Zero downtime.

Sensor Skins
Three architectures.
One subscription platform.
Each tier is designed for a different use case, from safety compliance to foundation model training data.
Standard Skin
Velostat/Linqstat Piezoresistive
  • Contact detection and safety compliance
  • PLe/SIL3 certified for cobot speed increase
  • 6–9 month replacement cycle
  • Tactile Telemetry Platform included
  • SkinCycle take-back recycling
◉ COMING SOON
Ultra Skin
Hybrid PVDF + Capacitive + Thermal
  • Multimodal: force + temperature + proximity
  • Foundation model training grade data
  • 12 month replacement cycle
  • Full Atlas data contribution + access
  • White-glove SkinCycle + custom calibration
◉ COMING SOON
DevKit Starter Pack IN DEVELOPMENT
Coming soon for research labs, robotics engineers, and maker communities. Everything you'll need to start collecting tactile data and building on the RoboWear platform.

Sensor Hardware

Standard Skin sample with pre-wired taxel array, USB-C DAQ board, and universal mounting clips for common research platforms.

Python SDK & MCP Server

Full API access to sensor telemetry plus a pre-built MCP server you can extend. Stream data directly into your ML pipeline or into the RoboWear platform.

Tactile IQ Access

Full platform access including Tactile IQ conversational AI, telemetry dashboard, and Atlas data contribution for cross-lab benchmarking.

Documentation & Samples

Quickstart guides, sample datasets, Jupyter notebooks, and integration examples for ROS2, Isaac Sim, and custom pipelines.

robowear-devkit
# Install the RoboWear SDK
$ pip install robowear-sdk

# Start the MCP server
$ robowear mcp start --sensor usb0
✓ MCP server running on localhost:8471
✓ Discovered: RW-Standard-Skin (24 zones, 268 taxels)

# Stream live sensor data
$ robowear stream --format json --hz 10
{"ts": 1712764800, "zone": "RW-F01", "pressure_kpa": 42.7, "shear_mn": 2.1}
{"ts": 1712764800, "zone": "RW-F02", "pressure_kpa": 38.3, "shear_mn": 1.8}
{"ts": 1712764801, "zone": "RW-F01", "pressure_kpa": 45.2, "shear_mn": 2.4}

# Or connect to Tactile IQ
$ robowear connect --platform app.robowear.io
✓ Connected to Tactile Telemetry Platform
✓ Tactile IQ agent active, streaming telemetry
Live and Streaming.
The Tactile Telemetry Platform is deployed as a proof of value. Hardware design validated. Tactile IQ is streaming.
Live
Platform Deployed
24
Sensors / 268 Taxels
34.8K
Data Points / Session
Live
Streaming Tactile IQ

See What a Robot Feels

The Tactile Telemetry Platform is live. Explore real sensor data, watch grip sequences play back in real time, and talk to Tactile IQ.

Launch Platform See Tactile IQ in Action →