Original research asset
RoboSkin Tactile Research Index
The RoboSkin Tactile Research Index compares public robot-skin and tactile-AI work by sensing principle, measured modalities, form factor, data output, application direction, evidence level, and explicit limitations. Every record links to its public source and a RoboSkin.ai research brief so readers can verify context before using the taxonomy.
- 7
- reviewed records
- 4
- evidence classes
- 2026-07-10
- edition reviewed
Showing 7 of 7 records
| Research item | Year | Sensor principle | Modalities | Form factor | Data output | Applications | Evidence |
|---|---|---|---|---|---|---|---|
| Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot ManipulationarXiv: Dream-Tac tactile world action model preprint Preprint evidence; transfer across sensors, tasks, and deployment conditions still requires independent validation. Reviewed 2026-07-10 | 2026 | Tactile world-action modeling | tactile observation, robot action | Contact-rich robot manipulation system | Predicted tactile observations conditioned on robot actions | contact prediction, robot manipulation | preprint |
| Single-material soft robotic skin for multimodal e-skin sensingUniversity of Cambridge: University of Cambridge single-material electronic skin report Institutional summary of research; application durability and production-scale integration are not established by the public story alone. Reviewed 2026-07-10 | 2025 | Single-material conductive soft skin | pressure, temperature, damage location | Large-area conformable robotic skin | Electrical measurements interpreted across the skin surface | robot body sensing, multimodal e-skin | institutional |
| FreeTacMan robot-free visuo-tactile data collection for tactile AIarXiv: FreeTacMan robot-free visuo-tactile data collection preprint Preprint evidence; dataset diversity and transfer to other tactile hardware remain evaluation questions. Reviewed 2026-07-10 | 2025 | Robot-free visuo-tactile data collection | vision-based touch, contact motion | Portable tactile data-collection workflow | Paired tactile observations and interaction trajectories | tactile dataset collection, manipulation learning | preprint |
| Sparsh-X multisensory touch representations for tactile AIarXiv: Sparsh-X multisensory touch representations preprint Preprint evidence; downstream performance depends on sensor coverage, task data, and evaluation protocol. Reviewed 2026-07-10 | 2025 | Multisensory tactile representation learning | tactile images, audio, motion, pressure | Digit 360 multisensory tactile representation model | Reusable latent touch representations | physical property inference, contact-rich manipulation | preprint |
| GenForce transferable force sensing for robot skin and tactile sensorsNature Communications: Nature Communications GenForce tactile sensing article Published evaluation does not establish equivalent accuracy for every sensor geometry, material, or deployment environment. Reviewed 2026-07-10 | 2026 | Cross-sensor force estimation through shared marker representations | three-axis force, optical and electronic tactile signals | Framework spanning GelSight, TacTip, and uSkin sensors | Estimated contact-force vectors | force-aware manipulation, sensor transfer | peer-reviewed |
| MiTaS multi-resolution tactile imitation learning for robot handsarXiv: MiTaS multi-resolution tactile imitation learning preprint Preprint evidence; benefits may depend on task dynamics, sensor timing, and the selected imitation-learning policy. Reviewed 2026-07-10 | 2026 | Multi-resolution tactile imitation learning | vision-based touch, event-based touch | Tactile robot-hand learning pipeline | Time-aligned multisensor tactile features and robot actions | imitation learning, dexterous manipulation | preprint |
| ROS 2 tactile sensor pipeline for robot skin data replayOpen Robotics documentation and RoboSkin.ai analysis: ROS 2 and ros2_control Kilted documentation Architecture guidance rather than a benchmark; message design and timing requirements remain application-specific. Reviewed 2026-07-10 | 2026 | ROS 2 tactile data transport and synchronization | pressure, shear, slip, temperature | Robot middleware pipeline | Timestamped tactile messages, transforms, and replayable logs | robot integration, tactile dataset logging | documentation |
Methodology
Source identity stays separate from editorial taxonomy
Titles, source labels, and source URLs come from the cited research records. Sensor principle, modality, form factor, output, application, evidence, and limitation fields are conservative editorial normalization by the RoboSkin.ai Editorial Team. The source remains authoritative for its own claims.
Limitations
This index is a map, not a product benchmark
Inclusion does not imply affiliation, endorsement, commercial availability, or equivalent performance across sensors and tasks. Evidence labels describe the cited public source type, not a universal quality score. Review the original source and application conditions before making an engineering decision.
Submit a correction ->