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pro vyhledávání: '"Gyan Tatiya"'
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
From an early age, humans learn to develop an intuition for the physical nature of the objects around them by using exploratory behaviors. Such exploration provides observations of how objects feel, sound, look, and move as a result of actions applie
Externí odkaz:
https://doaj.org/article/c4d0c0ae0537447893fca6a9f65110f5
Publikováno v:
IROS
Humans learn about object properties using multiple modes of perception. Recent advances show that robots can use non-visual sensory modalities (i.e., haptic and tactile sensory data) coupled with exploratory behaviors (i.e., grasping, lifting, pushi
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 7 (2020)
Frontiers in Robotics and AI, Vol 7 (2020)
From an early age, humans learn to develop an intuition for the physical nature of the objects around them by using exploratory behaviors. Such exploration provides observations of how objects feel, sound, look, and move as a result of actions applie
Autor:
Jivko Sinapov, Gyan Tatiya
Publikováno v:
ICRA
When identifying an object and its properties, humans use features from multiple sensory modalities produced when manipulating the object. Motivated by this cognitive process, we propose a deep learning methodology for object category recognition whi