Grounding semantic categories in behavioral interactions: Experiments with 100 objects

نویسندگان

  • Jivko Sinapov
  • Connor Schenck
  • Kerrick Staley
  • Vladimir Sukhoy
  • Alexander Stoytchev
چکیده

From an early stage in their development, human infants show a profound drive to explore the objects around them. Research in psychology has shown that this exploration is fundamental for learning the names of objects and object categories. To address this problem in robotics, this paper presents a behaviorgrounded approach that enables a robot to recognize the semantic labels of objects using its own behavioral interaction with them. To test this method, our robot interacted with 100 different objects grouped according to 20 different object categories. The robot performed 10 different behaviors on them, while using three sensorymodalities (vision, proprioception and audio) to detect any perceptual changes. The results show that the robot was able to use multiple sensorimotor contexts in order to recognize a large number of object categories. Furthermore, the category recognition model presented in this paper was able to identify sensorimotor contexts that canbeused to detect specific categories.Most importantly, the robot’s model was able to reduce exploration time by half by dynamically selectingwhich exploratory behavior should be applied next when classifying a novel object. © 2012 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Verbal fluency performance in normal adult population in Iran: Norms and Effects of age, education and gender

Objective: Verbal fluency is a cognitive function that can be easily assessed in bedside and provide useful data for clinical assessment of a variety of cognitive functions. We decided to provide a standardized test for the assessment of verbal fluency in Persian language, including both phonemic and semantic fluency subtests.  Method: First, three letters (P, D, and Sh) and three categories (...

متن کامل

A dialogue approach to learning object descriptions and semantic categories

Acquiring new knowledge through interactive learning mechanisms is a key ability for humanoid robots in a natural environment. Such learning mechanisms need to be performed autonomously, and through interaction with the environment or with other agents/humans. In this paper, we describe a dialogue approach and a dynamic object model for learning semantic categories, object descriptions, and new...

متن کامل

An Embodied Model for Sensorimotor Grounding and Grounding Transfer: Experiments With Epigenetic Robots

The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically plausible cognitive models. In this article, we present an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic robotics is one of the new cognitive modeling approaches to modeling autonomous mental development. The robot model...

متن کامل

Grounding the Ontology on the Semantic Interpretation Algorithm

Some reorganizations and modifications to the WordNet ontology are explained. These changes have been suggested by extensive testing of the ontological categories with an algorithm for semantic interpretation The algorithm is based on predicates that have been defined for WordNet verb classes. The selectional restrictions of the predicates are WordNet ontological categories.

متن کامل

Understanding the Real World: Combining Objects, Appearance, Geometry and Topology for Semantic Mapping

A cornerstone for mobile robots operating in man-made environments and interacting with humans is representing and understanding the human semantic concepts of space. In this report, we present a multi-layered semantic mapping algorithm able to combine information about the existence of objects in the environment with knowledge about the topology and semantic properties of space such as room si...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Robotics and Autonomous Systems

دوره 62  شماره 

صفحات  -

تاریخ انتشار 2014