lBasic Locomotion Pack Entering Car for unity musc car.fbx

lBasic Locomotion Pack Entering Car for unity musc car，驾驶员进入车辆动画

Unity Virtual Reality Projects 2nd Edition

Unity has become the leading platform for building virtual reality games, applications, and experiences for this new generation of consumer VR devices. Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using the Unity game engine. With its practical and project-based approach, this book will get you up to speed with the specifics of Virtual Reality development in Unity. You will learn how to use Unity to develop VR applications that can be experienced with devices such as Oculus, Daydream, and Vive. Among the many topics and projects, you will explore gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, software design patterns, 360-degree media, timeline animation, and multiplayer networking. You will learn the Unity 3D game engine via the interactive Unity Editor as well as C# programming. By the end of the book, you will be fully equipped to develop rich, interactive virtual reality experiences using Unity.

Complete Virtual Reality and Augmented Reality Development with Unity-2019.epub

Complete Virtual Reality and Augmented Reality Development with Unity by Jesse Glover Jonathan Linowes Packt Publishing English 2019-04-17 668 pages Details Title: Complete Virtual Reality and Augmented Reality Development with Unity Author: Jesse Glover, Jonathan Linowes Length: 668 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2019-04-17 ISBN-10: 1838648186 ISBN-13: 9781838648183 Sales Rank: #218169 (See Top 100 Books) Categories Computers & Technology Games & Strategy Guides Programming Programming Languages Description Get close and comfortable with Unity and build applications that run on HoloLens, Daydream, and Oculus Rift Key Features Build fun augmented reality applications using ARKit, ARCore, and Vuforia Explore virtual reality by developing more than 10 engaging projects Learn how to integrate AR and VR concepts together in a single application Book Description Unity is the leading platform to develop mixed reality experiences because it provides a great pipeline for working with 3D assets. Using a practical and project-based approach, this Learning Path educates you about the specifics of AR and VR development using Unity 2018 and Unity 3D. You'll learn to integrate, animate, and overlay 3D objects on your camera feed, before moving on to implement sensor-based AR applications. You'll explore various concepts by creating an AR application using Vuforia for both macOS and Windows for Android and iOS devices. Next, you'll learn how to develop VR applications that can be experienced with devices, such as Oculus and Vive. You'll also explore various tools for VR development: gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, timeline animation, and multiplayer networking. You'll learn the Unity 3D game engine via the interactive Unity Editor and C# programming. By the end of this Learning Path, you'll be fully equipped to develop rich, interactive mixed reality experiences

unity多边形狼动作资源包Poly Art Wolf 1.3.1

unity多边形狼动作资源包Poly Art Wolf 1.3.1 Requires Unity 5.5.1 or higher. They're so many amazing Low Poly Art Environments but is so sad that there's no wild life to populate them.. So here is some beautiful animals! (Wolf) They come with +62 AAA Animations. Includes character controller, and a animator component but you can always create your own or modify the existing one. This controller includes these Logic's: -Locomotion -Terrain -Fall -Jump -Attack -Actions -Basic AI -Environment Included!!!!

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots 笔记

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots笔记 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots笔记 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots 笔记

Applied Optimal Control for Dynamically Stable Legged Locomotion

Applied Optimal Control for Dynamically Stable Legged Locomotion - PhD Thesis - Russell L Tedrake

controlling legs for locomotion

Walking is the most common terrestrial form of locomotion in animals. Its great versatility and flexibility has led to many attempts at building walking machines with similar capabilities. The control of walking is an active research area both in neurobiology and robotics, with a large and growing body of work. This paper gives an overview of the current knowledge on the control of legged locomotion in animals and machines and attempts to give walking control researchers from biology and robotics an overview of the current knowledge in both fields.Wetry to summarize the knowledge on the neurobiological basis of walking control in animals, emphasizing common principles seen in different species. In a section on walking robots, we review common approaches to walking controller design with a slight emphasis on biped walking control.Weshow where parallels between robotic and neurobiological walking controllers exist and how robotics and biology may benefit from each other. Finally, we discuss where research in the two fields diverges and suggest ways to bridge these gaps.

Informatics in Control, Automation and Robotics (LNEE 430) 2018

“Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports the latest research and developments in Electrical Engineering, namely: • Communication, Networks, and Information Theory • Computer Engineering • Signal, Image, Speech and Information Processing • Circuits and Systems • Bioengineering Contents: Part I Intelligent Control Systems and Optimization A Method for the Energy Optimization of a Multisource Elevator . . 3 Chloé Desdouits, Mazen Alamir, Rodolphe Giroudeau, Claude Le Pape Visual Servoing Path-Planning with Elliptical Projections . . . 30 Tiantian Shen and Graziano Chesi Fractional Models of Lithium-Ion Batteries with Application to State of Charge and Ageing Estimation . . . . . . . . . . . . . . . . . . . . 55 Jocelyn Sabatier, Franck Guillemard, Loic Lavigne, Agnieszka Noury, Mathieu Merveillaut, and Junior Mbala Francico Co-operation of Biology Related Algorithms for Solving Opinion Mining Problems by Using Different Term Weighting Schemes . . . . . . . 73 Shakhnaz Akhmedova, Eugene Semenkin, and Vladimir Stanovov Bifurcation Analysis and Active Control of Surge and Rotating Stall in Axial Flow Compressors via Passivity . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Gholam-Reza Sari, Ouassima Akhrif, and Lahcen Saydy Task Controller for Performing Remote Centre of Motion . . . . . . . . . . 117 Bassem Dahroug, Brahim Tamadazte, and Nicolas Andreff Toward an Automatic Fongbe Speech Recognition System: Hierarchical Mixtures of Algorithms for Phoneme Recognition . . . . . . . 133 Fréjus A.A. Laleye, Eugène C. Ezin, and Cina Motamed Part II Robotics and Automation Spatial Fusion of Different Imaging Technologies Using a Virtual Multimodal Camera . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 Sebastian P. Kleinschmidt and Bernardo Wagner Fusing LiDAR and Radar Data to Perform SLAM in Harsh Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175 Paul Fritsche, Simon Kueppers, Gunnar Briese, and Bernardo Wagner On Redundancy Resolution in Minimum-Time Trajectory Planning of Robotic Manipulators Along Predefined End-Effector Paths . . . . . . . . . 190 Alexander Reiter, Hubert Gattringer, and Andreas Müller Parameter Identification and Model-Based Control of Redundantly Actuated, Non-holonomic, Omnidirectional Vehicles . . . . . . . . . . . . . . . 207 Christoph Stöger, Andreas Müller, and Hubert Gattringer Passivity-Based Control Design and Experiments for a Rolling- Balancing System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 Alejandro Donaire, Martin Crespo, Fabio Ruggiero, Vincenzo Lippiello, and Bruno Siciliano Time-Optimal Paths for a Robotic Batting Task . . . . . . . . . . . . . . . . . . 256 Diana Serra, Fabio Ruggiero, Aykut C. Satici, Vincenzo Lippiello, and Bruno Siciliano An Adaptive Terminal Sliding Mode Guidance Law for Head Pursuit Interception with Impact Angle Considered . . . . . . . . . . . . . . . . . . . . . . 277 Cheng Zhang, Ke Zhang, and Jingyu Wang Kinematic and Dynamic Approaches in Gait Optimization for Humanoid Robot Locomotion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 Ramil Khusainov, Alexandr Klimchik, and Evgeni Magid Part III Signal Processing, Sensors, Systems Modelling and Control Identification and Control of the Waelz Process Using Infrared Image Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 Jörg Matthes, Patrick Waibel, Hubert B. Keller, and Lutz Gröll Modeling and Calibrating Triangulation Lidars for Indoor Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342 Anas Alhashimi, Giovanni Pierobon, Damiano Varagnolo, and Thomas Gustafsson A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches . . . . . . . . . . . . . . . . . . . . . . . . . 367 Daniel Beckmann, Matthias Dagen, and Tobias Ortmaier Dynamics Calibration and Real-Time State Estimation of a Redundant Flexible Joint Robot Based on Encoders and Gyroscopes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385 Dennis Schüthe, Felix Wenk, and Udo Frese Mathematical Model for the Output Signal’s Energy of an Ideal DAC in the Presence of Clock Jitter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 Paola Loreti, Sima Sarv Ahrabi, and Pierluigi Vellucci Stochastic Integration Filter with Improved State Estimate Mean- Square Error Computation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423 Jindřich Havlík, Ondřej Straka, Jindřich Duník, and Jiří Ajgl Author Index. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440

Humanoid Robots

Title: Humanoid Robots Author(s): Ben Choi (Editor) Language: English Pages (biblio\tech): 397\397 ISBN: 9789537619442, 9537619443 Table of contents : Title Page......Page 4 Copyright......Page 5 Table of Contents......Page 8 Preface......Page 6 1. Humanoid Robotic Language and Virtual Reality Simulation 001 Ben Choi......Page 10 2. Emotion Mimicry in Humanoid robots using Computational Theory of Perception 021 Mohsen Davoudi......Page 30 3. A biologically founded design and control of a humanoid biped 033 Giuseppina C. Gini......Page 42 4. Connectives Acquisition in a Humanoid Robot Based on an Inductive Learning Language Acquisition Model 065 Dai Hasegawa......Page 74 5. Performance Assessment of a 3 DOF Differential Based Waist joint for the “iCub” Baby Humanoid Robot 083 W. M. Hinojosa......Page 92 6. Emotion-based Architecture for Social Interactive Robots 097 Jochen Hirth and Karsten Berns......Page 106 7. A Walking Pattern Generation Method for Humanoid robots using Least square method and Quartic polynomial 117 Seokmin Hong......Page 126 8. Stable Walking Pattern Generation for a Biped Robot Using Reinforcement Learning 135 Jungho Lee and Jun Ho Oh......Page 144 9. The Reaction Mass Pendulum (RMP) Model for Humanoid Robot Gait and Balance Control 167 Sung-Hee Lee and Ambarish Goswami......Page 176 10. Neurophysiological models of gaze control in Humanoid Robotics 187 Luigi Manfredi......Page 196 11. Dynamic decision making for humanoid robots based on a modular task strucutre 213 Giulio Milighetti......Page 222 12. The Design of humanoid Robot Arm based on Morphological and Neurological Analysis of Human Arm 231 Yongseon Moon......Page 240 13. 6-DOF Motion Sensor System Using Multiple Linear Accelerometers 245 Ryoji Onodera and Nobuharu Mimura......Page 254 14. Toward Intelligent Biped-Humanoids Gaits Generation 259 Nizar Rokbani......Page 268 15. Humanoid Robot With Imitation Ability 273 Wen-June Wang and LI-PO Chou......Page 282 16. Developing New Abilities for Humanoid Robots with a Wearable Interface 287 Hyun Seung Yang, Il Woong Jeong, Yeong Nam Chae, Gi Il Kwon and Yong-Ho Seo......Page 296 18. Towards Artificial Communication Partners With a Multiagent Mind Model Based on Mental Image Directed Semantic Theory 333 Masao Yokota......Page 342 19. New Approach of Neural Network for Controlling Locomotion and Reflex of Humanoid Robot 365 Zaier Riadh and Kanda Shinji......Page 374

Multi-Locomotion Robotic Systems

Springer Tracts in Advanced Robotics Volume 81 - Multi-Locomotion Robotic Systems New Concepts of Bio-inspired Robotics

principles of animal locomotion

普林斯顿大学经典著作，讲述动物移动原理

Advanced Locomotion System V2

虚幻4引擎，Advanced Locomotion System V2 角色装配

Quadrupedal Locomotion

四足机器人专著

Design and locomotion analysis of a novel deformable mobile

Design and locomotion analysis of a novel deformable mobile robot with worm-like, self-crossing and rolling motion.pdf

feedback control of Dynamic bipedal robot locomotion

欠驱动双足机器人建模与控制方面的经典英文著作。

Generation Undulatory Locomotion of C. elegans in A Crawling Robot via Biomimetic Learning

Generation Undulatory Locomotion of C. elegans in A Crawling Robot via Biomimetic Learning

Unity-SteamVR-API：与Omnideck和HTC Vive SteamVR一起使用的官方Unity API-源码

这是什么？ 这是Omnifinity的“ Unity SteamVR API”（测试版），使开发人员可以将HTC Vive与Omnideck一起使用。 Omnideck基本上是一种模拟游戏杆，可为游戏/模拟提供3D向量，以表示角色/摄像机控制器应如何移动。 有多种方法可使用基于第三方仿真器和驱动程序的Omnideck控制游戏/模拟。 您可以在这里找到这些方法的概述： 。 如果您想使用SteamVR和HTC Vive触控板按钮而不是我们的Unity API来实现“触控板运动/平稳运动”，请查看此处的介绍： 如果您想了解更多有关集成的信息，请与我们联系。 版本通知 此API v1.17.8

ALSV4_CPP：针对Unreal Engine 4.26的Advanced Locomotion System V4的性能进行了优化和复制的C ++端口，并修复了其他错误-源码

C ++上的Advanced Locomotion System V4 复制并优化了用于虚幻引擎4.26的C ++端口，并修复了其他错误。 支持平台 视窗 Linux Mac，Android，IOS和控制台版本目前尚未测试和支持。 在那些平台上使用插件，后果自负。 产品特点 完全复制支持，带宽使用率低 插件结构 高度优化的生产 市场版本中的许多错误修复 已知问题和讨论 有关已知问题的列表，请参见部分 请参阅“部分以讨论有关插件的任何内容，并提出问题。 请不要打开问题来询问有关插件的问题。 设置插件 将存储库克隆到项目的Plugins文件夹中，或下载最新版本并将其解压缩到项目的Plugins

Computational Principles of Mobile Robotics

This is a textbook for advanced undergraduate and graduate students in the field of mobile robotics. Emphasising computation and algorithms, the authors address a range of strategies for enabling robots to perform tasks that involve motion and behavior. The book is divided into three major sections: locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots, but discusses a variety of other propulsion systems. Kinematic models are developed for many of the more common locomotive strategies. It presents algorithms for both visual and nonvisual sensor technologies, including sonar, vision, and laser scanners. In the section on reasoning, the authors offer a thorough examination of planning and the issues related to spatial representation. They emphasize the problems of navigation, pose estimation, and autonomous exploration. The book is a comprehensive treatment of the field, offering a discussion of state-of-the art methods with illustrations of key technologies.