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IROS 2025

DTactive: A Vision-Based Tactile Sensor with Active Surface

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

The development of vision-based tactile sensors has significantly enhanced robots’ perception and manipulation capabilities, especially for tasks requiring contact-rich interactions with objects. In this work, we present DTactive, a novel vision-based tactile sensor with active surfaces. DTactive inherits and modifies the tactile 3D shape reconstruction method of DTact while integrating a mechanical transmission mechanism that facilitates the mobility of its surface. Thanks to this design, the sensor is capable of simultaneously performing tactile perception and in-hand manipulation with surface movement. Leveraging the high-resolution tactile images from the sensor and the magnetic encoder data from the transmission mechanism, we propose a learning-based method to enable precise angular trajectory control during in-hand manipulation. In our experiments, we successfully achieved accurate rolling manipulation within the range of [−180°, 180°] on various objects, with the root mean square error between the desired and actual angular trajectories being less than 12° on nine trained objects and less than 19° on three novel objects. The results demonstrate the potential of DTactive for in-hand object manipulation in terms of effectiveness, robustness and precision.

Authors

Keywords

  • Learning systems
  • Surface reconstruction
  • Three-dimensional displays
  • Shape
  • Magnetic resonance imaging
  • Tactile sensors
  • Reconstruction algorithms
  • Robustness
  • Trajectory
  • Root mean square
  • Active Surface
  • Tactile Sensor
  • Vision-based Tactile Sensors
  • Root Mean Square Error
  • Mean Square Error
  • Root Mean
  • Elastography
  • Actual Trajectory
  • Trajectory Control
  • Silicon
  • Fabrication Process
  • Flat Surface
  • 3D Reconstruction
  • Angular Velocity
  • Dexterity
  • Friction Force
  • Online Assessment
  • Proportional-integral-derivative
  • Pose Estimation
  • Grip Force
  • Orientation Estimation
  • Minimum Radius
  • Iterative Closest Point
  • Lift Force
  • Center Of Rotation
  • Mechanism Module
  • Sensor Surface
  • Compact Size
  • Sensor Area

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
458510777972152157