INTUITIVE · Project

Smart Touch-Sensitive Robot Skin That Feels and Remembers Like Human Fingers

digitalPrototypeTRL 3Thin data (2/5)

Imagine giving a robot the sense of touch — not just pressure sensors, but actual skin that can feel textures, softness, and shape the way your fingertips do. INTUITIVE built flexible electronic skins using advanced materials like graphene, with a twist: these sensors have built-in memory, so the robot can learn from what it touches. The team also studied how the human brain processes touch to teach robots the same tricks. The end goal is better robot hands, smarter prosthetics for amputees, and touch-based devices that help blind people navigate the world.

By the numbers

Early-stage researchers trained in haptics and tactile technology

540

Person-months of multidisciplinary research training delivered

Partners in the consortium

Countries represented in the network

Total deliverables produced

Industry partners involved in research

SMEs in the consortium

The business problem

What needed solving

Robots today are essentially numb — they use basic force sensors that cannot distinguish between a ripe tomato and a steel bolt, leading to product damage, slow handling, and limited automation of delicate tasks. Prosthetic hands lack meaningful touch feedback, making them frustrating for users. Companies building grippers, prosthetics, or assistive devices need sensors that actually feel like real skin.

The solution

What was built

The project delivered a working demonstrator of sensors with memory based on memristive devices — tactile sensors that can remember and learn from previous contacts. Across 30 deliverables, the team developed flexible electronic tactile skins, computational models of human touch perception, and haptic display prototypes.

Audience

Who needs this

Collaborative robot (cobot) manufacturers needing sensitive grippersProsthetic limb companies adding touch feedback to artificial handsAssistive technology firms building devices for visually impaired usersConsumer electronics companies developing haptic interfacesSurgical robotics companies requiring precise tactile sensing

Business applications

Who can put this to work

Robotics & Automation

mid-size

Target: Robotic gripper and collaborative robot manufacturers

If you are a robotics company struggling with robots that damage delicate products because they cannot feel what they are gripping — this project developed flexible tactile skins with built-in memory that let robot hands sense texture, pressure, and shape. The consortium of 11 partners across 7 countries tested sensors based on memristive devices that remember previous contacts, enabling robots to adapt grip strength automatically.

Prosthetics & Medical Devices

SME

Target: Prosthetic limb manufacturers and rehabilitation technology companies

If you are a prosthetics company trying to give amputees a natural sense of touch in artificial hands — this project developed soft biomorphic tactile skin using flexible electronics and microsensors that mimic human skin mechanics. With 4 industry partners involved in the research, the technology bridges the gap between lab-grade touch sensors and wearable prosthetic applications. The team's neuroscience research into how humans process touch informs more intuitive prosthetic feedback.

Assistive Technology

SME

Target: Assistive device makers for visually impaired users

If you are a company developing navigation aids or reading devices for blind users and need more intuitive haptic feedback — this project created haptic displays informed by deep neuroscience research on how the brain encodes touch. The consortium trained 15 researchers specifically at the intersection of neuroscience and haptic technology. Their computational models of tactile perception can make assistive devices feel more natural and require less learning time.

Frequently asked

Quick answers

What would it cost to license or integrate this tactile sensor technology?

The project does not publish licensing fees or unit costs. Since INTUITIVE was a Marie Curie training network coordinated by Lund University, IP is likely distributed across 11 partners. Licensing would need to be negotiated with individual partners holding specific patents on sensor designs or materials.

Can these sensors be manufactured at industrial scale?

Based on available project data, the technology has reached demonstrator stage — specifically a memristive sensor device. The use of graphene and flexible electronics suggests scalability challenges remain, as these materials are still transitioning from lab to factory. Industrial-scale production would require further engineering beyond what this training network delivered.

Who owns the intellectual property from this project?

IP is governed by the consortium agreement among 11 partners across 7 countries. With 4 industry partners and 3 SMEs involved, some results may already be moving toward commercial protection. Contact the coordinator at Lund University or specific industry partners for licensing discussions.

How does this compare to existing tactile sensors on the market?

The key differentiator is the memristive device — sensors with built-in memory that learn from previous contacts. Most commercial force/pressure sensors are passive and lack this adaptive capability. The project also combined neuroscience insights with sensor design, which is uncommon in current industrial offerings.

What is the timeline to get a working product from this research?

The project closed in March 2024 with a working demonstrator of memristive sensors. Moving from demonstrator to a commercially viable product typically requires 2-4 more years of engineering, certification, and manufacturing scale-up. Some industry partners in the consortium may already be pursuing this.

Is this technology compliant with medical device regulations?

Based on available project data, regulatory compliance was not a primary focus — this was a research training network. Any prosthetic or medical application would need to go through CE marking and MDR certification processes separately. The neuroscience research on human touch perception could support regulatory submissions.

Consortium

Who built it

The INTUITIVE consortium brings together 11 partners from 7 countries (Belgium, Germany, Spain, France, Italy, Sweden, UK), with a healthy 36% industry ratio — 4 industry partners including 3 SMEs alongside 6 universities and 1 research institute. This mix means the research was shaped by real commercial needs, not just academic curiosity. The coordinator is Lund University in Sweden, a strong technical university. For a business looking to access this technology, the SME partners are likely the fastest route to practical collaboration, while the university partners hold deeper foundational IP on sensor materials and neuroscience methods.

LUNDS UNIVERSITETCoordinator · SE
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINEparticipant · UK
INVENTIVIO GMBHparticipant · DE
ACTRONIKAparticipant · FR
KARLSRUHER INSTITUT FUER TECHNOLOGIEparticipant · DE
FONDAZIONE BRUNO KESSLERparticipant · IT
UNIVERSITAET OSNABRUECKparticipant · DE
UNIVERSITY OF GLASGOWparticipant · UK
KATHOLIEKE UNIVERSITEIT LEUVENparticipant · BE
BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFTparticipant · DE

How to reach the team

Lund University (Sweden) coordinated this project. Use SciTransfer's matchmaking service to get a warm introduction to the right research lead.

Order a report on this consortium See LUNDS UNIVERSITET profile →

Next steps

Talk to the team behind this work.

Want to explore licensing the memristive sensor technology or hiring trained researchers from this network? SciTransfer can connect you with the right consortium partner for your specific application.

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