andr oid (17 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Master the mathematics that makes robot motion predictable, controllable, and verifiable. This rigorous, implementation minded reference develops robot kinematics from the ground up, starting with pose and rotation modeling in SO(3) and SE(3), then building to forward kinematics for serial chains, twist and screw formulations, and the differential tools used every day in modern robotics.You will move from clean, frame-consistent transformation algebra to Jacobians as true differential maps, with clear treatment of spatial versus body representations, adjoint transformations, and acceleration kinematics. Singularities are handled both geometrically and numerically, including rank tests, null spaces, SVD based conditioning, and manipulability measures that directly explain real performance limits. From there, the text connects theory to practice through inverse differential kinematics: pseudoinverse solutions, damped least squares for singularity robustness, weighting and metrics, redundancy resolution, null space projectors, and task priority methods. Constraint handling is covered with a modern optimization perspective, including inequality constrained formulations and quadratic programming approaches that naturally incorporate joint limits and feasibility.Every chapter includes multiple choice questions plus practice problems with fully explained answers to reinforce key derivations, expose common mistakes, and build the confidence needed to apply kinematic methods correctly on real mechanisms.What you will be able to do after working through this bookModel rigid body poses and rotations with multiple interchangeable parameterizationsDerive forward kinematics using Denavit-Hartenberg and Product of Exponentials methodsBuild and interpret manipulator Jacobians, including body and spatial formsAnalyze and quantify singularities, near singular behavior, and dexterity limitsSolve inverse differential kinematics for redundant robots with stability and robustnessApply task based and constrained IK methods using principled numerical toolsConnect kinematic sensitivity to calibration and parameter identification This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Build robotics models you can trust by mastering the mathematics that governs motion, estimation, and rigid-body geometry.This engineering-focused text develops the essential tools behind modern robotic systems, starting from core linear algebra and multivariable calculus and extending through dynamics, discretization, and uncertainty. The emphasis is always on sensitivity, stability, and validation, so results are not only derived correctly but also checked for conditioning, error growth, and physical consistency.Inside you will work through the mathematical backbone of robotics, including: Linear algebra for real-world solves: rank and null spaces, QR and Cholesky structure, eigendecomposition, SVD, pseudoinverses, regularization, and condition numbersMultivariable calculus that drives kinematics and estimation: Jacobians, Hessians, chain rules, and implicit differentiation for constrained mechanismsNonlinear least squares and constrained optimization: Gauss-Newton, Levenberg-Marquardt, Lagrange multipliers, KKT conditions, and quadratic programsDifferential equation modeling and discretization: state-space ODEs, matrix exponential solutions for LTI systems, sampling effects, truncation error, and stiffness-aware integration ideasUncertainty and error propagation: first-order sensitivity, covariance propagation through nonlinear maps, and Mahalanobis geometryRigid-body geometry with Lie groups: SO(3) and SE(3), exponential and logarithm maps, left and right Jacobians, adjoints, and consistent perturbation modelsKinematics and dynamics fundamentals: product of exponentials forward kinematics, Jacobians and singularities, spatial vector dynamics, and Lagrangian structureEstimation foundations: linear Kalman filtering and manifold-aware extensions using tangent-space error modelsEvery chapter includes multiple choice questions plus practice questions with full answers, designed to reinforce "derive, solve, validate" skills. The result is a rigorous, problem-driven pathway to the mathematical foundations needed for reliable robotics systems engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Turn the mathematics of living systems into engineering models that actually run on robots. This book connects biological principles like homeostasis, rhythmic coordination, sensory fusion, adaptation, and collective behavior to the core mathematical tools used in modern robotics, including nonlinear dynamics, stability theory, stochastic modeling, optimal feedback control, and distributed systems.You will move from state-space modeling and contact rich locomotion to limit cycles, phase reduction, and coupled oscillator networks that generate stable gaits. Build bio-inspired actuation and compliance models using muscle and tendon style dynamics, then quantify performance using energetics and cost metrics. Extend from deterministic control to uncertainty aware robotics with Bayesian inference, Kalman style filtering, and stochastic differential equations that capture signal-dependent motor noise. Explore learning and adaptation through plasticity rules, internal models, predictive control viewpoints, and evolutionary style optimization. Scale up to multi-agent systems with mean-field models, flocking dynamics, task allocation, and game theoretic stability. Finish with mathematically grounded modeling for soft bodies and fluid-structure interaction in swimming and flying.Every chapter includes multiple choice questions plus practice problems, all with fully explained answers, so concepts are not only presented but verified through active problem solving. The result is a rigorous, implementation minded reference for bio-inspired modeling, analysis, and control. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Master the mathematics that makes robot motion predictable, controllable, and verifiable. This rigorous, implementation minded reference develops robot kinematics from the ground up, starting with pose and rotation modeling in SO(3) and SE(3), then building to forward kinematics for serial chains, twist and screw formulations, and the differential tools used every day in modern robotics.You will move from clean, frame-consistent transformation algebra to Jacobians as true differential maps, with clear treatment of spatial versus body representations, adjoint transformations, and acceleration kinematics. Singularities are handled both geometrically and numerically, including rank tests, null spaces, SVD based conditioning, and manipulability measures that directly explain real performance limits. From there, the text connects theory to practice through inverse differential kinematics: pseudoinverse solutions, damped least squares for singularity robustness, weighting and metrics, redundancy resolution, null space projectors, and task priority methods. Constraint handling is covered with a modern optimization perspective, including inequality constrained formulations and quadratic programming approaches that naturally incorporate joint limits and feasibility.Every chapter includes multiple choice questions plus practice problems with fully explained answers to reinforce key derivations, expose common mistakes, and build the confidence needed to apply kinematic methods correctly on real mechanisms.What you will be able to do after working through this bookModel rigid body poses and rotations with multiple interchangeable parameterizationsDerive forward kinematics using Denavit-Hartenberg and Product of Exponentials methodsBuild and interpret manipulator Jacobians, including body and spatial formsAnalyze and quantify singularities, near singular behavior, and dexterity limitsSolve inverse differential kinematics for redundant robots with stability and robustnessApply task based and constrained IK methods using principled numerical toolsConnect kinematic sensitivity to calibration and parameter identification This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Turn the mathematics of living systems into engineering models that actually run on robots. This book connects biological principles like homeostasis, rhythmic coordination, sensory fusion, adaptation, and collective behavior to the core mathematical tools used in modern robotics, including nonlinear dynamics, stability theory, stochastic modeling, optimal feedback control, and distributed systems.You will move from state-space modeling and contact rich locomotion to limit cycles, phase reduction, and coupled oscillator networks that generate stable gaits. Build bio-inspired actuation and compliance models using muscle and tendon style dynamics, then quantify performance using energetics and cost metrics. Extend from deterministic control to uncertainty aware robotics with Bayesian inference, Kalman style filtering, and stochastic differential equations that capture signal-dependent motor noise. Explore learning and adaptation through plasticity rules, internal models, predictive control viewpoints, and evolutionary style optimization. Scale up to multi-agent systems with mean-field models, flocking dynamics, task allocation, and game theoretic stability. Finish with mathematically grounded modeling for soft bodies and fluid-structure interaction in swimming and flying.Every chapter includes multiple choice questions plus practice problems, all with fully explained answers, so concepts are not only presented but verified through active problem solving. The result is a rigorous, implementation minded reference for bio-inspired modeling, analysis, and control. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Build robotics models you can trust by mastering the mathematics that governs motion, estimation, and rigid-body geometry.This engineering-focused text develops the essential tools behind modern robotic systems, starting from core linear algebra and multivariable calculus and extending through dynamics, discretization, and uncertainty. The emphasis is always on sensitivity, stability, and validation, so results are not only derived correctly but also checked for conditioning, error growth, and physical consistency.Inside you will work through the mathematical backbone of robotics, including: Linear algebra for real-world solves: rank and null spaces, QR and Cholesky structure, eigendecomposition, SVD, pseudoinverses, regularization, and condition numbersMultivariable calculus that drives kinematics and estimation: Jacobians, Hessians, chain rules, and implicit differentiation for constrained mechanismsNonlinear least squares and constrained optimization: Gauss-Newton, Levenberg-Marquardt, Lagrange multipliers, KKT conditions, and quadratic programsDifferential equation modeling and discretization: state-space ODEs, matrix exponential solutions for LTI systems, sampling effects, truncation error, and stiffness-aware integration ideasUncertainty and error propagation: first-order sensitivity, covariance propagation through nonlinear maps, and Mahalanobis geometryRigid-body geometry with Lie groups: SO(3) and SE(3), exponential and logarithm maps, left and right Jacobians, adjoints, and consistent perturbation modelsKinematics and dynamics fundamentals: product of exponentials forward kinematics, Jacobians and singularities, spatial vector dynamics, and Lagrangian structureEstimation foundations: linear Kalman filtering and manifold-aware extensions using tangent-space error modelsEvery chapter includes multiple choice questions plus practice questions with full answers, designed to reinforce "derive, solve, validate" skills. The result is a rigorous, problem-driven pathway to the mathematical foundations needed for reliable robotics systems engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.