SPATIAL LANGUAGE FOR MOBILE ROBOTS. - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook SPATIAL LANGUAGE FOR MOBILE ROBOTS. write by SOMYA. DUBEY. This book was released on 2019. SPATIAL LANGUAGE FOR MOBILE ROBOTS. available in PDF, EPUB and Kindle.
Spatial Language for Route-Based Humanoid Robot Navigation
Spatial Language for Route-Based Humanoid Robot Navigation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatial Language for Route-Based Humanoid Robot Navigation write by Mohammed M. Elmogy. This book was released on 2015. Spatial Language for Route-Based Humanoid Robot Navigation available in PDF, EPUB and Kindle. A more natural interaction between humans and mobile robots can be achieved by bridging the gap between the format of spatial knowledge used by robots and the format of languages used by humans. This enables both of them to communicate by using shared knowledge. Spatial knowledge can be (re)presented in various ways to increase the interaction between humans and mobile robots. One effective way is to describe the route verbally to the robot. This method can permit computer language-naive users to control mobile robots, which understand spatial descriptions, to naturally perform complex tasks using succinct and intuitive commands. We present an instruction language to describe route-based navigation tasks for a humanoid robot. The instructions of this spatial language are implemented to provide an intuitive interface with which novice users can easily and naturally describe a navigation task for a mobile robot in a miniature city or in any other indoor environment. In our system, the instructions of the processed route description are analyzed to motion actions and spatial relationships via the command interpreter stage. The lexicon, which is implemented at the command interpreter stage, is defined in terms of the basic robot motion operations and it represents the mapping between route instructions and main navigational actions. Perceptual anchoring is used to ground the resulting motion actions and spatial relationships with the robot main actuator procedures.
Spatial Language for Mobile Robots
Spatial Language for Mobile Robots - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatial Language for Mobile Robots write by . This book was released on 2008. Spatial Language for Mobile Robots available in PDF, EPUB and Kindle.
Learning to Understand Spatial Language for Robotic Navigation and Mobile Manipulation
Learning to Understand Spatial Language for Robotic Navigation and Mobile Manipulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning to Understand Spatial Language for Robotic Navigation and Mobile Manipulation write by Thomas Fleming Kollar. This book was released on 2011. Learning to Understand Spatial Language for Robotic Navigation and Mobile Manipulation available in PDF, EPUB and Kindle. (cont.) These statistics are learned from a large database of tagged images such as Flickr, and build off of the model developed in the first component of the thesis. Second, a spatial reasoning component judges how well spatial relations such as "past the computers" describe the path of the robot relative to a landmark. Third, a verb understanding component judges how well spatial verb phrases such as "follow". "meet", "avoid" and "turn right" describe how an agent moves on its own or in relation to another agent. Once trained, our model requires only a metric map of the environment together with the locations of detected objects in order to follow directions through it. This map can be given a priori or created on the fly as the robot explores the environment. In the final chapter of the thesis, we focus on understanding mobile manipulation commands such as, "Put the tire pallet oii the truck." The first contribution of this chapter is the Generalized Grounding Graph (G3 ), which connects language onto grounded aspects of the environment. In this chapter, we relax the assumption that the language has fixed and flat structure and provide a method for constructing a hierarchical probabilistic graphical model that connects each element in a natural language command to an object. place., path or event in the environment. The structure of the G3 model is dynamically instantiated according to the compositional and hierarchical structure of the command, enabling efficient learning and inference. The second contribution of this chapter is to formulate the problem as a discriminative learning problem that maps from language directly onto a robot plan. This probabilistic model is represented as a conditional random field (CRF) that learns the correspondence of robot plans and the language and is able to learn the meanings of complex verbs such as "put" and "take," as well as spatial relations such as "on" and "to."
Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Robot
Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Robot - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Robot write by Eva Stopp. This book was released on 1994. Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Robot available in PDF, EPUB and Kindle.
