The sense of surface orientation — A new sensor modality for humanoid robots
| Autor: | Tamim Asfour, Simon Ottenhaus, Lukas Kaul, Pascal Weiner |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Forward kinematics Orientation (computer vision) Computer science business.industry 010401 analytical chemistry 02 engineering and technology 01 natural sciences 0104 chemical sciences 020901 industrial engineering & automation Inertial measurement unit Computer vision Artificial intelligence business Robotic arm Tactile sensor Surface reconstruction Humanoid robot ComputingMethodologies_COMPUTERGRAPHICS Haptic technology |
| Zdroj: | Humanoids 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids) |
| DOI: | 10.1109/humanoids.2016.7803368 |
| Popis: | This paper introduces a novel sensor concept for surface exploration in robotic applications. We present an IMU-based haptic sensor that accurately estimates the orientation of contact points. One of the biggest advantages of our proposed sensor concept is the extraction of absolute surface orientation without being affected by inaccuracies in the forward kinematics. Conventional sensors require additional steps to compute surface normals, whereas the proposed concept directly generates normals on contact, leading to accurate surface reconstruction. The introduced sensor is based on off-the-shelf components and costs much less than conventional tactile sensors. We attached our sensor to a 4-DOF robotic arm and conducted several experiments with different objects. Experimental results show that the sense of surface orientation significantly improves surface reconstruction of unknown objects with a method based on Gaussian Implicit Surfaces (GPIS), that is also presented in detail. |
| Databáze: | OpenAIRE |
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