Pith. sign in

REVIEW 1 cited by

MagicTac: A Novel High-Resolution 3D Multi-layer Grid-Based Tactile Sensor

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2402.01366 v1 pith:5IKQU3T4 submitted 2024-02-02 cs.RO

classification cs.RO
keywords magictacmanufacturingtactilegrid-basedsensoradditiveaffordabilitycontacts
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Accurate robotic control over interactions with the environment is fundamentally grounded in understanding tactile contacts. In this paper, we introduce MagicTac, a novel high-resolution grid-based tactile sensor. This sensor employs a 3D multi-layer grid-based design, inspired by the Magic Cube structure. This structure can help increase the spatial resolution of MagicTac to perceive external interaction contacts. Moreover, the sensor is produced using the multi-material additive manufacturing technique, which simplifies the manufacturing process while ensuring repeatability of production. Compared to traditional vision-based tactile sensors, it offers the advantages of i) high spatial resolution, ii) significant affordability, and iii) fabrication-friendly construction that requires minimal assembly skills. We evaluated the proposed MagicTac in the tactile reconstruction task using the deformation field and optical flow. Results indicated that MagicTac could capture fine textures and is sensitive to dynamic contact information. Through the grid-based multi-material additive manufacturing technique, the affordability and productivity of MagicTac can be enhanced with a minimum manufacturing cost of 4.76 GBP and a minimum manufacturing time of 24.6 minutes.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Classification of Vision-Based Tactile Sensors: A Review

    cs.RO 2025-09 conditional novelty 6.0 of 10

    A review that proposes a four-type classification of vision-based tactile sensors, dividing them into marker-based versus intensity-based transduction with subtypes and combinations.

Pith tools