Bonzini, Aramis Augusto;
Seminara, Lucia;
Macciò, Simone;
Carfi, Alessandro;
Jamone, Lorenzo;
(2025)
Robotic Haptic Exploration of Object Shape with Autonomous Symmetry Detection.
IEEE Transactions on Robotics
10.1109/TRO.2025.3544113.
(In press).
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Abstract
Haptic robotic exploration aims to control the movements of a robot with the objective of touching an object and retrieving physical information about it. In this work, we present an innovative exploration strategy to simultaneously detect symmetries in a 3D object and use this information to enhance shape estimation. This is achieved by leveraging a novel formulation of Gaussian Process models that allows the modeling of symmetric surfaces. Our procedure does not assume any prior knowledge about the object, neither about its shape nor about the presence and type of symmetry, necessitating only an approximate estimate of the size and boundaries (bounding box). We report experimental results both in simulation and in the real world, showing that using symmetric models leads to a reduction in shape estimation error, exploration time, and in the number of physical contacts performed by a robot when exploring objects that have symmetries.
| Type: | Article |
|---|---|
| Title: | Robotic Haptic Exploration of Object Shape with Autonomous Symmetry Detection |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TRO.2025.3544113 |
| Publisher version: | https://doi.org/10.1109/tro.2025.3544113 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Shape Estimation, Haptic Exploration, Haptic Perception, Tactile Sensing, Symmetry |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206663 |
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