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Agile Autonomy: Learning High-Speed Vision-Based Flight

Agile Autonomy: Learning High-Speed Vision-Based Flight PDF Author: Antonio Loquercio
Publisher: Springer Nature
ISBN: 3031272889
Category : Technology & Engineering
Languages : en
Pages : 69

Book Description
This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.

Agile Autonomy: Learning High-Speed Vision-Based Flight

Agile Autonomy: Learning High-Speed Vision-Based Flight PDF Author: Antonio Loquercio
Publisher: Springer Nature
ISBN: 3031272889
Category : Technology & Engineering
Languages : en
Pages : 69

Book Description
This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.

Agile Autonomy

Agile Autonomy PDF Author: Antonio Loquercio
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Learning Vision-based Agile Flight

Learning Vision-based Agile Flight PDF Author: Elia Kaufmann
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Advances in Visual Computing

Advances in Visual Computing PDF Author: George Bebis
Publisher: Springer Nature
ISBN: 3031479661
Category : Computers
Languages : en
Pages : 506

Book Description
This volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA. The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as: Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture. Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.

Vision-Based Control of Agile, Autonomous Micro Air Vehicles and Small UAVs in Urban Environments

Vision-Based Control of Agile, Autonomous Micro Air Vehicles and Small UAVs in Urban Environments PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 5

Book Description
This project investigated technologies to enable autonomous flight of agile vehicles in urban environments. Specifically, technologies were developed that related to vision-based feedback for control. The mission profile under consideration was a single vehicle carrying a video camera while flying below the rooftops of a city with no additional sensors or pre-existing map information. As such, substantial progress was made in the areas of feature-point tracking, state estimation, scene reconstruction, robustness to camera calibration, daisy-chaining navigation, mapping, path planning, and feedback characterization. An integrated approach was used that (be used on multi-disciplinary analysis for decision making and control commands. The project spiraled the maturation of technologies from theory to simulation to flight testing. The simulation relied upon a hardware-in-the-loop simulation facility that allowed the physical camera to record measurements from high-fidelity graphics and thus consider the effects of distortion and nonlinearities.

Agile, Vision-based Quadrotor Flight

Agile, Vision-based Quadrotor Flight PDF Author: Davide Falanga
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Deep Learning for Robot Perception and Cognition

Deep Learning for Robot Perception and Cognition PDF Author: Alexandros Iosifidis
Publisher: Academic Press
ISBN: 0323885721
Category : Computers
Languages : en
Pages : 638

Book Description
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Introduction to Autonomous Mobile Robots, second edition

Introduction to Autonomous Mobile Robots, second edition PDF Author: Roland Siegwart
Publisher: MIT Press
ISBN: 0262295091
Category : Computers
Languages : en
Pages : 473

Book Description
The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Algorithms for Generation and Tracking of Fast and Agile Flight Trajectories

Algorithms for Generation and Tracking of Fast and Agile Flight Trajectories PDF Author: Ezra Tal
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
High-speed flight through cluttered environments is essential to many time-sensitive robotics applications. It requires motion planning and flight control algorithms that enable highly accurate maneuvering at the edge of the vehicle's capability. These algorithms must overcome challenges particular to fast and agile flight, such as complex dynamics effects including significant unsteady aerodynamics and challenging conditions like post-stall and uncoordinated flight. We propose trajectory generation and tracking algorithms that address these challenges for a quadcopter aircraft and for a fixed-wing transitioning aircraft that combines vertical take-off and landing (VTOL) with efficient forward flight. This thesis contains several contributions. First, we show that robust control based on incremental nonlinear dynamic inversion (INDI) enables fast and agile flight without depending on an accurate dynamics model. Based on the INDI technique, we design a comprehensive quadcopter flight control algorithm that achieves accurate trajectory tracking without relying on any vehicle aerodynamics model. Second, we show differential flatness of a global nonlinear six-degree-of-freedom (6DOF) flight dynamics model for a tailsitter flying wing transitioning aircraft. We leverage the flat transform to design an INDI flight control algorithm capable of tracking agile aerobatics maneuvers that exploit the entire flight envelope, including post-stall and sideways knife-edge flight. Third, we present a trajectory generation algorithm that aims to identify the actual dynamic feasibility boundary by efficiently combining analytical, numerical, and experimental evaluations in trajectory optimization. Finally, we demonstrate our contributions in fast and agile flight through elaborate experiments.

Industrial System Engineering for Drones

Industrial System Engineering for Drones PDF Author: Neeraj Kumar Singh
Publisher: Apress
ISBN: 1484235347
Category : Computers
Languages : en
Pages : 268

Book Description
Explore a complex mechanical system where electronics and mechanical engineers work together as a cross-functional team. Using a working example, this book is a practical “how to” guide to designing a drone system. As system design becomes more and more complicated, systematic, and organized, there is an increasingly large gap in how system design happens in the industry versus what is taught in academia. While the system design basics and fundamentals mostly remain the same, the process, flow, considerations, and tools applied in industry are far different than that in academia. Designing Drone Systems takes you through the entire flow from system conception to design to production, bridging the knowledge gap between academia and the industry as you build your own drone systems. What You’ll LearnGain a high level understanding of drone systems Design a drone systems and elaborating the various aspects and considerations of design Review the principles of the industrial system design process/flow, and the guidelines for drone systems Look at the challenges, limitations, best practices, and patterns of system design Who This Book Is For Primarily for beginning or aspiring system design experts, recent graduates, and system design engineers. Teachers, trainers, and system design mentors can also benefit from this content.