Coder Social home page Coder Social logo

ibooklib's Introduction

eHomeLib

.
├── Animation
│  ├── 3D Animation Essentials.pdf
│  ├── Acquiring Stylized Motor Skills.pdf
│  ├── Behavior-Based Robotics.pdf
│  ├── Bipedal Robotic Character.pdf
│  ├── Choregraphe.pdf
│  ├── Composite Control of Physically Simulated Characters.pdf
│  ├── Computer Animation.pdf
│  ├── Contact-aware Nonlinear Control of Dynamic Characters.pdf
│  ├── Games105_notes.pdf
│  ├── Generating Whole Body Motions.pdf
│  ├── Imitating Human Dance Motions.pdf
│  ├── Interaction Mesh Based Motion Adaptation.pdf
│  ├── Learning from Observation.pdf
│  ├── Motion Capture File Formats Explained.pdf
│  ├── Motion Interpolation Methods.pdf
│  ├── MVN_white_paper.pdf
│  ├── Optimization-based Motion Retargeting.pdf
│  ├── Principles.pdf
│  ├── Retargeting.pdf
│  ├── Retargetting Motion to New Characters.pdf
│  ├── Robust Robot Motion Retargeting.pdf
│  ├── Spatial_Relationship_Preserving_Character_Motion_Adaptation.pdf
│  ├── Teleoperation of Humanoid Robots.pdf
│  ├── Towards a Natural Motion Generator.pdf
│  ├── Valve's Handbook.pdf
│  └── Whole-Body Geometric Retargeting for Humanoid Robots.pdf
├── Biographies
│  ├── Doom Guy.epub
│  └── Masters of Doom.pdf
├── Contact
│  ├── An Introduction to Physics-based Animation.pdf
│  ├── Articulated Rigid Body.pdf
│  ├── Contact and Constraints.pdf
│  ├── Convex Quasistatic.pdf
│  ├── drake
│  │  ├── Deformable.pdf
│  │  ├── MPM.pdf
│  │  ├── Sap.pdf
│  │  ├── Similar_Lagged.pdf
│  │  └── Tamsi.pdf
│  ├── Elandt_cornellgrad.pdf
│  ├── ErinCatto_SoftConstraints_GDC2011.pdf
│  ├── ErinCatto_UnderstandingConstraints_GDC2014.pdf
│  ├── ErwinCoumans_GPU_rigid_body_simulation_GDC2013.pdf
│  ├── Fluid Engine Development.pdf
│  ├── Implicit Time-Stepping Scheme.pdf
│  ├── LCP.pdf
│  ├── Minchen Li dissertation.pdf
│  ├── Model of Contact Normal Force.pdf
│  ├── Pressure Field Contact.pdf
│  ├── SIGGRAPH22_friction_contact_notes.pdf
│  ├── simplecontacts2024.pdf
│  ├── Velocity Level Approximation of Pressure Field Contact.pdf
│  └── 仿真器对比.png
├── CUDA
│  ├── Automatic Sphere Approximation.pdf
│  ├── CUDA_programming.pdf
│  ├── CUDA Handbook.pdf
│  ├── Game Physics Pearls.pdf
│  ├── Learn CUDA Programming.pdf
│  ├── NVIDIA_CUDA_Programming_Guide_1.1_chs.pdf
│  ├── Professional CUDA C Programming.pdf
│  ├── Programming in Parallel with CUDA.pdf
│  └── Warp.pdf
├── CXX
│  ├── [B] Dive Into Design Patterns.pdf
│  ├── Advanced C and C++ Compiling.pdf
│  ├── An Introduction to Modern CMake.pdf
│  ├── API Design for C++.pdf
│  ├── C++-Templates-zh.pdf
│  ├── C++20-The-Complete-Guide-zh.pdf
│  ├── C++23-Standard-Library.pdf
│  ├── C++ Best Practices.pdf
│  ├── C++ Initialization Story.pdf
│  ├── C++ Today.pdf
│  ├── Clang Compiler Frontend.pdf
│  ├── improving_compilation_times.pdf
│  ├── Learn LLVM 17.pdf
│  ├── Many Faces of PublishSubscribe.pdf
│  ├── Modern-CMake-for-C++-2ed-zh-20240908.pdf
│  ├── modern-cmake.pdf
│  ├── Modern C++ Design-zh.pdf
│  ├── Modern C++ Design.pdf
│  ├── Professional-CMake-zh.pdf
│  ├── Software-Architecture-with-C++-zh.pdf
│  ├── STL源码剖析.pdf
│  ├── Template-Metaprogramming-with-C++-zh.pdf
│  ├── The-Art-of-Writing-Efficient-Programs-zh.pdf
│  └── 自制编译器.pdf
├── Dynamics
│  ├── 1 Inverse geometry.pdf
│  ├── 2 trajectory optimization.pdf
│  ├── 19-sii-pinocchio.pdf
│  ├── Analytically Differentiable Articulated Rigid Body Dynamics.pdf
│  ├── A Unified View of the Equations of Motion.pdf
│  ├── Foundations of physically based modeling and animation.pdf
│  ├── Geometric Fundamentals of Robotics.pdf
│  ├── holonomy-and-nonholonomy-in-the-dynamics-of-articulated-motion.pdf
│  ├── Intrinsic sense of touch.pdf
│  ├── jnrh_collision_detection.pdf
│  ├── Kalman Filtering, Smoothing & FD:ID.pdf
│  ├── Kinematic Loops.pdf
│  ├── Lagrangian Mechanics_Gauss_QP.pdf
│  ├── MODELLING AND CONTROL OF NONHOLONOMIC MECHANICAL SYSTEMS.pdf
│  ├── Modern Robotics.pdf
│  ├── nonholonomy in the dynamics.pdf
│  ├── Pinocchio's frame for spatial velocities [v=MLFtHLTprE4].mp4
│  ├── pinocchio_cheat_sheet.pdf
│  ├── presentation - Constraint Dynamics.pdf
│  ├── presentation - Pinocchio.pdf
│  ├── pressure field contact.pdf
│  ├── rbda.pdf
│  ├── RD_HS2017script.pdf
│  ├── Robot and Multibody Dynamics.pdf
│  ├── Rotational Dynamics.pdf
│  ├── Simbody.pdf
│  ├── Structure and Interpretation of Classical Mechanics.pdf
│  ├── TalkJNRH_LegDesign.pdf
│  ├── todorov2014.pdf
│  └── 机器人动力学课程笔记.pdf
├── EE
│  ├── ndss2023_f217_paper.pdf
│  └── Open Circuits.pdf
├── Game
│  └── Fabien Sanglard - Game Engine Black Book_ Wolfenstein 3D.pdf
├── gen_readme.sh
├── Graphics
│  ├── A Biography of the Pixel.pdf
│  ├── Director.pdf
│  ├── LearnThreejs.pdf
│  └── Sketchpad.pdf
├── Grasp
│  └── fastgraspd.pdf
├── IK
│  └── iksurvey.pdf
├── LaTeX
│  └── lnotes2.pdf
├── Learning
│  ├── 5天带你上手Isacc gym&RL学习.pdf
│  ├── 16-745 Lecture 24.pdf
│  ├── Acquiring Motor Skills.pdf
│  ├── Actuator-Constrained RL.pdf
│  ├── berkeley_humanoid.pdf
│  ├── Champion-level drone racing.pdf
│  ├── Continuous Control with Coarse-to-fine RL.pdf
│  ├── CusADi.pdf
│  ├── DeepMimic_2018.pdf
│  ├── Deep Tracking Control.pdf
│  ├── Domain Randomization.pdf
│  ├── DreamWaQ.pdf
│  ├── DTC.pdf
│  ├── how to train your robot.pdf
│  ├── Humanoid-Gym.pdf
│  ├── Humanoid Robot to Imitate Human Dances.pdf
│  ├── HumanPlus.pdf
│  ├── Isaac Gym.pdf
│  ├── lbdl.pdf
│  ├── Learning_Agile_Soccer_Skills_for_a_Bipedal_Robot.pdf
│  ├── Learning agile and dynamic motor skills for legged robots.pdf
│  ├── Learning Agile Soccer Skills.pdf
│  ├── Learning Bipedal Walking on CPU.pdf
│  ├── Learning In-Hand Translation Using Tactile.pdf
│  ├── Learning Locomotion Skills Using DeepRL.pdf
│  ├── Learning to Use Chopsticks in Diverse Gripping Styles.pdf
│  ├── Learning to Walk.pdf
│  ├── Model-Based Footstep Planning.pdf
│  ├── Motor Learning.pdf
│  ├── MPC_IFAC Lecture.pdf
│  ├── NIPS-2010-constructing-skill-trees-for-reinforcement-learning-agents-from-demonstration-trajectories-Paper.pdf
│  ├── OC_vs_RL.pdf
│  ├── On_Bringing_Robots_Home.pdf
│  ├── OPT-Mimic.pdf
│  ├── Orbit.pdf
│  ├── Past, Present, and Future of Intelligence.pdf
│  ├── Periodic Reward Composition.pdf
│  ├── Plan-Guided Reinforcement Learning.pdf
│  ├── PPO.pdf
│  ├── Reinforcement Learning and Optimal Control.pdf
│  ├── RL Bipedal Jumping Control.pdf
│  ├── RLbook2020.pdf
│  ├── rlchina-3h-rl-tutorial.pdf
│  ├── Sim-to-Real.pdf
│  ├── Soccer Kicking.pdf
│  ├── sot-torque-control.pdf
│  ├── UnderstandingDeepLearning_24_11_23_C.pdf
│  ├── Visualizing Movement Control Optimization.pdf
│  ├── VMP.pdf
│  ├── What Is ChatGPT Doing.pdf
│  └── 深度强化学习.pdf
├── Locomotion
│  ├── Adaptive-model.pdf
│  ├── An Architecture for Online Affordance-based Perception and Whole-body Planning.pdf
│  ├── ARTEMIS.pdf
│  ├── Artemis_Hardware_Zhu.pdf
│  ├── Artemis_Software_Ahn.pdf
│  ├── atlas-control.pdf
│  ├── Atlas_Step_Up_TO.pdf
│  ├── balance control and locomotion planning.pdf
│  ├── Bipedal Humanoid Hardware Design: A Technology Review.pdf
│  ├── Bipedal Running.pdf
│  ├── Capture Steps: Robust Walking for Humanoid Robots.pdf
│  ├── CD_FK.pdf
│  ├── Collaborative Loco-Manipulation.pdf
│  ├── Differentiable Optimal Control.pdf
│  ├── Dynamic Loco-manipulation on HECTOR.pdf
│  ├── Free Gait.pdf
│  ├── HardwareRPC.pdf
│  ├── HECTOR.pdf
│  ├── Interactive_Design_of_Stylized_Walking_Gaits_for_Robotic_Characters-4.pdf
│  ├── Introduction to Humanoid Robotics.pdf
│  ├── Julia for robotics.pdf
│  ├── KIM-DISSERTATION-2017.pdf
│  ├── Kuindersma14.pdf
│  ├── Mechatronic design of NAO.pdf
│  ├── MIT Biped Line-Feet.pdf
│  ├── MJPC.pdf
│  ├── Momentum-Based Control Framework.pdf
│  ├── NimbRo-OP2X.pdf
│  ├── notes-twan.pdf
│  ├── Optimal-Design-of-Robotic-Character-Kinematics-Paper.pdf
│  ├── Optimization-Based Control.pdf
│  ├── paper_flexLoco.pdf
│  ├── Passivity-based whole-body balancing.pdf
│  ├── Perceptive_Locomotion_through_NMPC.pdf
│  ├── Push Recovery Control.pdf
│  ├── Series-Parallel Hybrid.pdf
│  ├── Simulating Balance Recovery.pdf
│  ├── Software and Control Design.pdf
│  ├── Stability of Surface Contacts.pdf
│  ├── Teleoperation of Humanoid Robots.pdf
│  ├── Tello Leg.pdf
│  ├── US11465281.pdf
│  ├── vduindamPhDthesis.pdf
│  ├── WBC.pdf
│  ├── WBIC.pdf
│  ├── WBLC.pdf
│  ├── Wensing_IJHR_2016.pdf
│  ├── Whole-Body Control of Series-Parallel Hybrid Robots.pdf
│  └── Whole-body MPC.pdf
├── Manipulation
│  ├── [2020] [MIT Master] Dynamic Primitives Facilitate Manipulating a Whip.pdf
│  ├── A Mathematical Introduction to Robotic Manipulation.pdf
│  ├── BD_MPCv3.pdf
│  ├── Bubble_Gripper_Build_Instructions_v1.0.pdf
│  ├── Contact-Trajectory Optimization.pdf
│  ├── diffusion_policy_2023.pdf
│  ├── High-speed Multifingered Hand System.pdf
│  ├── Local Smoothing.pdf
│  └── 机器人操作的数学导论.pdf
├── Math
│  ├── [B] 矩阵力量.pdf
│  ├── Interactive Linear Algebra.pdf
│  ├── Linear Algebra Done Right 4th.pdf
│  ├── Mathematics for Robotics.pdf
│  ├── Measure, Integration & Real Analysis.pdf
│  └── The-Art-of-Linear-Algebra-zh-CN.pdf
├── MotionPlanning
│  ├── Dynamic Robot Manipulation_v1.pdf
│  ├── Dynamic Robot Manipulation_v2.pdf
│  ├── Motion Planning the Essentials.pdf
│  ├── RAPTOR.pdf
│  ├── Skaterbots.pdf
│  └── 几何方法.pdf
├── Motor
│  ├── High-Output Actuation System.pdf
│  ├── High Torque and High Speed Leg Module.pdf
│  └── thermal control.pdf
├── Numerics
│  ├── [B] Evaluating Derivatives.pdf
│  ├── [B] Matrix Computations.pdf
│  ├── AppliedMathematics.pdf
│  ├── Approximation Theory and Approximation Practice (2013).pdf
│  ├── Chebfun.pdf
│  ├── Chebfun_NLP.pdf
│  ├── Exploring ODEs.pdf
│  ├── Matrix Analysis and Applied Linear Algebra.pdf
│  ├── Numerical Algorithms.pdf
│  ├── Numerical Linear Algebra.pdf
│  ├── Numerical methods that work.djvu
│  ├── Numerical recipes the art of scientific computing.pdf
│  └── Templates for the Solution of Linear Systems.pdf
├── OptimalControl
│  ├── [B] Geometric Control of Mechanical Systems.pdf
│  ├── [B] Numerical Optimal Control.pdf
│  ├── [CasADi] advanced_concepts.pdf
│  ├── [CasADi] A General-Purpose Software Framework for Dynamic Optimization.pdf
│  ├── [CasADi] Framework.pdf
│  ├── A_Survey_of_Numerical_Methods_for_Optimal_Control.pdf
│  ├── A Gauss Pseudospectral Transcription for Optimal Control.pdf
│  ├── Applied Nonlinear Control.pdf
│  ├── Contact-Implicit Trajectory Optimization.pdf
│  ├── cuRobo.pdf
│  ├── cvoc.pdf
│  ├── Efficient Trajectory Optimization for Robot Motion Planning.pdf
│  ├── Geometric Algebra for Optimal Control.pdf
│  ├── geometric control of mechanical systems.pdf
│  ├── GPOPS-Ⅱ.pdf
│  ├── Inverse Dynamics Trajectory Optimization.pdf
│  ├── Joris Gillis.pdf
│  ├── JuMP.pdf
│  ├── Kelly2016.pdf
│  ├── Linear System Theory and Design.pdf
│  ├── MathOptInterface.pdf
│  ├── MPC-book-2nd.pdf
│  ├── MPOPT_presentation.pdf
│  ├── MultipleShooting.pdf
│  ├── nlp_slides.pdf
│  ├── OpTaS.pdf
│  ├── Optimal control theory.pdf
│  ├── pseudospectral.pdf
│  ├── PSOPT.pdf
│  ├── Soft Landing Optimal Control.pdf
│  ├── Stagewise implementation of SQP.pdf
│  ├── trajectorySurveyAAS.pdf
│  ├── Ungar.pdf
│  └── 变分学讲义.pdf
├── Optimization
│  ├── 17-toussaint-Newton.pdf
│  ├── An Introduction to Optimization on Smooth Manifolds.pdf
│  ├── A survey of HPC for NLP.pdf
│  ├── convex_optimization.pdf
│  ├── cuPDLP.jl.pdf
│  ├── End-to-End Learning to Warm-Start.pdf
│  ├── First-Order Methods in Optimization.pdf
│  ├── Getting Started With IPOPT.pdf
│  ├── ipopt-thesis.pdf
│  ├── IPOPT.pdf
│  ├── Knitro.pdf
│  ├── Lecture Notes on Numerical Optimization.pdf
│  ├── LecturesOnConvexOptimization.pdf
│  ├── Lectures on Modern Convex Optimization.pdf
│  ├── Linear Solver Parallelism.pdf
│  ├── MA57.pdf
│  ├── Matrix Computations.pdf
│  ├── Mean Robust Optimization.pdf
│  ├── MUMPS-Talks.pdf
│  ├── MUMPS.pdf
│  ├── NLP book.pdf
│  ├── NumericalOptimization.pdf
│  ├── On the effects of scaling on the performance of Ipopt.pdf
│  ├── OSQP.pdf
│  ├── Overview of Optimization Software.pdf
│  ├── PDFO.pdf
│  ├── PIQP.pdf
│  ├── Practical Optimization.pdf
│  ├── Recent Advances in the OSQP.pdf
│  ├── SNOPT.pdf
│  ├── 无导数优化方法的研究.pdf
│  ├── 最优化-2.pdf
│  └── 瞎子爬山与最优化方法.pdf
├── OS
│  ├── abi386-4.pdf
│  ├── atc23-jiang-yanyan.pdf
│  ├── Crafting Interpreters.pdf
│  ├── High-Quality Software Engineering.pdf
│  ├── How To Write Shared Libraries.pdf
│  ├── Linker and Libraries Guide.pdf
│  ├── linkers_and_loaders.pdf
│  ├── Linux-UNIX系统编程手册(上册).pdf
│  ├── Linux-UNIX系统编程手册(下册).pdf
│  ├── Program-Library-HOWTO.pdf
│  └── ROSCon 2017 Determinism in ROS.pdf
├── Physics
│  ├── Bridging two insect flight modes.pdf
│  ├── Contact Models in Robotics.pdf
│  ├── Effective Computation in Physics.pdf
│  ├── Fly by Night Physics.pdf
│  ├── IPC.pdf
│  └── UniversityPhysics.pdf
├── Python
│  ├── composing_programs.pdf
│  ├── High Performance Python.pdf
│  ├── IPython Interactive Computing and Visualization Cookbook.pdf
│  ├── managing-python-packages.pdf
│  ├── mementopython3-english.pdf
│  ├── mementopython3-zh_cn.pdf
│  ├── python3-note.pdf
│  └── PythonMastery.pdf
├── README.md
├── StateEstimation
│  ├── foot_imu_iros2023.pdf
│  ├── Localization Visual Odometry NASA.pdf
│  └── SLAM中的几何与学习方法.pdf
└── Umwelt
   ├── A Foray Into the Worlds of Animals and Humans.pdf
   ├── An Immense World.epub
   ├── Behavior-Based Robotics.pdf
   ├── Does a robot have an Umwelt.pdf
   └── What Is It Like to Be a Bat.pdf

ibooklib's People

Contributors

matheecs avatar

Stargazers

 avatar Priyanshu Pansari avatar Filippo Passerini avatar Simeon Nedelchev avatar Shabarish Purushothaman Pillai avatar Silvio Traversaro avatar GuoganMei avatar  avatar Huai Zhi Xu avatar  avatar

Watchers

 avatar Francesco Brand avatar zYx.Tom avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.