Textile-based whole-body sensing for robotics
Touch, knitted into textiles.Flexible sensing for robotics.
Wavellect develops textile-based tactile sensing systems through smart sensing yarns, 3D-conformal stretchable knitting and on-device processing. Our product roadmap covers full-coverage tactile gloves and large-area robotic tactile skin for dexterous manipulation, tactile data collection and contact interaction.
- Yarn and device integration
- Yarn
- Yarn and device integration
- Conformal stretchable knitting
- 3D
- Conformal stretchable knitting
- On-device tactile processing
- AI
- On-device tactile processing
- Gloves and robotic tactile skin
- 2
- Gloves and robotic tactile skin
Working with teams in robotics, health care and mobility
- Robotics Lab A
- Humanoid Co. B
- Auto OEM C
- Care Group D
- University E
- Capital F
- Textile Mill G
Three core technologies
Complementary technologies for deployable robotic touch
Yarn and device integration, digital knitting and on-device processing are complementary capabilities supporting tactile gloves and stretchable robotic tactile skin.
- 01
Chip-integrated smart sensing yarns
Integrating functional materials, fibers and microelectronic devices at yarn level provides a basis for textile-compatible, customizable sensing structures. Sensing modalities and device configurations depend on the validated product version.
- 02
3D-conformal stretchable knitting
Programmable knitting combines conductive, sensing and structural yarns to form soft, stretchable sensing interfaces that conform to complex three-dimensional surfaces.
- 03
Low-power on-device AI and data processing
Multi-point signal acquisition, preprocessing, feature extraction and event recognition support robot control and planning. Power, latency and throughput require measurements for the specific configuration.
Products
Tactile gloves and robotic skin, built on one platform
Our core product roadmap focuses on full-coverage tactile gloves and large-area stretchable robotic tactile skin. Product maturity, availability and configurations require project-specific confirmation.
Tactile Fabric Sheet
A pressure-sensing textile you can cut, sew and wrap
- 32×32
- Sensing array
- 0.4mm
- Thickness
- 200Hz
- Sampling rate
Full-Coverage Tactile Glove
Conformal textile touch for dexterous manipulation and data collection
- 600+
- Sensing points
- 120Hz
- Frame rate
- 70g
- Glove weight
Stretchable Robotic Tactile Skin
Large-area textile touch for joints, torsos and complex surfaces
- 1–5mm
- Spatial resolution
- 500Hz
- Max sampling
- 0.05N
- Min detectable force
Developer Kit
From unboxing to heatmap in 30 minutes
- 2
- Sensing sheets
- 4
- SDK platforms
- 30min
- Time to first data
Solutions
Where touch creates value
Explore intended applications in dexterous manipulation, tactile data collection, whole-body contact sensing and physical human–robot interaction.
Embodied Robotics
Textile-based tactile gloves and stretchable robotic skin for dexterous manipulation, tactile data collection, whole-body contact sensing and physical human–robot interaction. Integration and performance are evaluated for each robot platform.
- Conformal robotic tactile skin
- Contact sensing and feedback
- Tactile data collection
Why fabric
Knitted sensing and conventional pressure sensors
This table illustrates design characteristics. Comparisons require validation under the same test conditions, do not describe every conventional sensor design, and are not performance, lifetime or cost commitments.
| Capability | Wavellect fabric | Rigid / film sensors |
|---|---|---|
| Conforms to curved surfaces | Wraps any shape | Limited, may crease |
| Breathability and comfort | Feels like fabric | Plastic film layer |
| Large-area coverage | Meters, seamless | Tiled modules |
| Bend durability | 100k+ cycles | Fatigue cracking |
| Custom layout cost | Pattern change only | New tooling |
Developers
Data you can use in minutes
Data formats, software interfaces, calibration methods and toolchain support are confirmed for each product version and project during sample and interface evaluation.
- Python
- C++
- ROS 2
- Unity
- MATLAB
Calibrated output
Pressure in physical units per node.
Recording and replay
Export to CSV, HDF5 or rosbag.
Timestamps
Sync with cameras and motion capture.
Open examples
Notebooks, ROS nodes and Unity scenes.
import wavellect as wv
# Connect to the first available device
sheet = wv.connect()
for frame in sheet.stream(fps=120):
peak = frame.pressure.max()
area = frame.contact_area(threshold=0.05)
print(f"peak={peak:.2f} N area={area:.1f} cm2")News & insights
Latest from Wavellect
How knitting gives textiles a sense of touch
Smart sensing yarns and programmable knitting integrate tactile sensing into flexible textiles.
Why embodied AI needs a sense of touch
Vision gets a robot close. Touch gets the job done. A short note on tactile feedback in manipulation.
Introducing Wavellect: fabric that feels
Wavellect develops textile-based tactile sensing through smart sensing yarns, programmable knitting and low-power on-device AI.
FAQ
Questions we hear often
Can not find your answer? Talk to our engineers.
How is fabric tactile sensing different from rigid pressure sensors?
Wavellect focuses on integrating sensing functions into yarns and programmable knitted structures. This supports soft, stretchable interfaces that can conform to complex robotic surfaces. Fit, breathability, sensing performance and durability must be validated for the configured version and deployment; not every product uses chip-integrated yarns.
What products can integrate Wavellect sensors?
Our core product roadmap covers full-coverage tactile gloves for dexterous robotic hands and large-area stretchable robotic tactile skin for joints, torsos and complex surfaces. Intended applications include dexterous manipulation, tactile data collection, contact sensing and physical human–robot interaction. Suitability is assessed for each robot and project.
What information do you need to start a project?
Please share the robot model and surface geometry, installation location, sensing modalities and area, resolution, sampling rate and latency requirements, power budget, calibration needs, data interfaces, environment and lifetime requirements, budget and project timeline. Evaluation proceeds through requirements, samples and interfaces, demonstrations, testing, engineering and small-batch validation.
Can I get samples or an evaluation kit?
Contact us to discuss sample and interface evaluation. Prototype, sample, trial, order and mass-production status are confirmed separately for each version. Availability, lead times and commercial terms require project-specific confirmation; a product roadmap does not mean every listed configuration is currently available.
Is the sensing fabric washable and durable?
Washability and durability depend on the materials, interconnections, packaging and configured product version. Please request the relevant cleaning instructions and test reports. Fatigue life, repeatability, temperature drift, creep and environmental resistance require measurements under stated conditions; no universal washability or lifetime claim applies to all products.
Which platforms does the SDK support?
Software interfaces, supported platforms, data formats and calibration output are confirmed for each product version and project. Please specify your robot control stack and requirements for raw data, timestamps, synchronization and recordings during interface evaluation. Do not assume every SDK or export format shown on the website is available for all versions.
Get started
Make your product touch-aware
Share your robot geometry, installation location, sensing area, modalities, interfaces and test requirements to discuss sample evaluation and an engineering plan.
- Evaluation kits shipped worldwide
- Custom layouts from prototype to volume
- Engineering support for integration and algorithms