Active Vision and Perception in Human-Robot Collaboration - 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 Active Vision and Perception in Human-Robot Collaboration write by Dimitri Ognibene. This book was released on 2022-03-07. Active Vision and Perception in Human-Robot Collaboration available in PDF, EPUB and Kindle.
Active Vision for Scene Understanding
Active Vision for Scene Understanding - 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 Active Vision for Scene Understanding write by Grotz, Markus. This book was released on 2021-12-21. Active Vision for Scene Understanding available in PDF, EPUB and Kindle. Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.
Active Perception and Robot Vision
Active Perception and Robot Vision - 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 Active Perception and Robot Vision write by Arun K. Sood. This book was released on 2012-12-06. Active Perception and Robot Vision available in PDF, EPUB and Kindle. Intelligent robotics has become the focus of extensive research activity. This effort has been motivated by the wide variety of applications that can benefit from the developments. These applications often involve mobile robots, multiple robots working and interacting in the same work area, and operations in hazardous environments like nuclear power plants. Applications in the consumer and service sectors are also attracting interest. These applications have highlighted the importance of performance, safety, reliability, and fault tolerance. This volume is a selection of papers from a NATO Advanced Study Institute held in July 1989 with a focus on active perception and robot vision. The papers deal with such issues as motion understanding, 3-D data analysis, error minimization, object and environment modeling, object detection and recognition, parallel and real-time vision, and data fusion. The paradigm underlying the papers is that robotic systems require repeated and hierarchical application of the perception-planning-action cycle. The primary focus of the papers is the perception part of the cycle. Issues related to complete implementations are also discussed.
Vision for Robotics
Vision for Robotics - 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 Vision for Robotics write by Danica Kragic. This book was released on 2009. Vision for Robotics available in PDF, EPUB and Kindle. Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing visionbased control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.
Active Vision and Perception
Active Vision and Perception - 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 Active Vision and Perception write by Jake Richard Gemerek. This book was released on 2020. Active Vision and Perception available in PDF, EPUB and Kindle. Active vision and perception for resource-constrained autonomous vehicles, such as small ground robots and quadrotors, are limited in their allowable algorithmic complexity and slow reaction times. For an autonomous mobile robot to safely and reliably perform a useful task or behavior, real-time visual perception that informs a controller with a fast reaction time is needed. This dissertation covers new research developments in the areas of active vision, planning, and control for directional sensors with a focus on event-cameras and RGB cameras. Event-cameras, also known as neuromorphic cameras, are biologically inspired visual sensors that measure local changes in light intensity, mitigating latency and redundant data. Several high-level active vision algorithms, interfaced with autonomous vehicle controllers, are developed for event-cameras and quantitatively compared to analogous RGB camera algorithms, in terms of both accuracy and computational cost. In particular, motion-based perception algorithms for object recognition and tracking, action recognition, and depth estimation are developed for use on a moving quadrotor tasked with reacting to the perceived environment. Novel active vision algorithms for RGB cameras are also developed in which an autonomous ground vehicle or quadrotor interact with a human target of interest using novel action recognition and tracking perception capabilities paralleled with new control methods for target following. Furthermore, a novel occlusion-avoiding path planning algorithm that is applicable to both event-cameras and RGB cameras is developed. The proposed method computes a closed-form collection of subsets of the sensor's configuration space, referred to as visibility regions, that quantify the visibility of targets subject to the sensor field of view geometry and line of sigh visibility. This method is quantitatively compared to several existing sensor path planning methods in terms of analytical computational complexity, experimental path performance, and experimental computational cost analysis. The results of this work enable active vision, perception, and planning for resource-constrained mobile robots equipped with directional sensors such as an event-camera or RGB camera.
