GripSee: A Robot for Visually-Guided Grasping

Autor: Eric Maël, Jochen Triesch, Stefan Zadel, Jan C. Vorbrüggen, Mike Pagel, Efthimia Kefalea, M. Becker, Christoph von der Malsburg
Rok vydání: 1998
Předmět:
Zdroj: ICANN 98 ISBN: 9783540762638
DOI: 10.1007/978-1-4471-1599-1_64
Popis: We have designed an anthropomorphic robot system at our institute as a research platform and demonstrator for the next generation of service robots. GripSee is a visually guided robot which is endowed with a number of skills based on different neural network architectures. The skills include the interpretation of human gestures, localization and recognition of objects, planning and generation of grasping movements, and automatic calibration of the eye-hand coordination. This paper gives an overview of the system and reports on our experiences in applying diverse neural network architectures in a real robot.
Databáze: OpenAIRE