کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6867100 | 1439837 | 2018 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Haptic Zero-Shot Learning: Recognition of objects never touched before
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Haptic Zero-Shot Learning: Recognition of objects never touched before Haptic Zero-Shot Learning: Recognition of objects never touched before](/preview/png/6867100.png)
چکیده انگلیسی
Object recognition is essential to enable robots to interact with their environment. Robots should be capable, on one hand of recognizing previously experienced objects, and on the other, of using the experienced objects for learning novel objects, i.e. objects for which training data are not available. Recognition of such novel objects can be achieved with Zero-Shot Learning (ZSL). In this work, we show the potential of ZSL for haptic recognition. First, we design a zero-shot haptic recognition algorithm and, using the extensive PHAC-2 database (Chu et al., 2015) as well as our own, we adapt, analyze and optimize the ZSL for the challenges and constraints characteristic of haptic recognition. Finally, we apply the optimized algorithm for haptic recognition of daily-life objects using an anthropomorphic robot hand. Our algorithm enables the robot to recognize eight of the ten novel objects handed to it.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 105, July 2018, Pages 11-25
Journal: Robotics and Autonomous Systems - Volume 105, July 2018, Pages 11-25
نویسندگان
Zineb Abderrahmane, Gowrishankar Ganesh, André Crosnier, Andrea Cherubini,