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4 produkter
4 produkter
E-bok
Engelska, 20203 446 kr
Läs direkt efter köp
This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
E-bok
PDF, Engelska, 20203 446 kr
Läs direkt efter köp
This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
Inbunden, Engelska, 2020
2 972 kr
Skickas inom 10-15 vardagar
This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
E-bok
Engelska, 2026347 kr
Läs direkt efter köp
Integrated Sustainable Farming Systems demonstrates how diversified agricultural enterprises-crops, livestock, fisheries, trees, and allied activities-create synergistic farming models resilient to market, climate, and resource variability. This systems-level resource explores design principles, nutrient cycling, resource optimization, and economic risk-spreading in integrated approaches applicable across farm sizes and agroclimatic zones globally. The book synthesizes research from tropical smallholder farms to temperate mixed operations, presenting enterprise combinations, resource flows, labor allocation, and decision-making frameworks suited to local conditions. Topics include crop-livestock-fish integration, agro forestry, renewable energy systems, and value addition through on-farm processing. Case studies from diverse geographies illustrate context-specific model adaptations and economic outcomes. By addressing production, environmental, and livelihood dimensions simultaneously, Integrated Sustainable Farming Systems equips smallholder and commercial farmers, agricultural extension specialists, development practitioners, and policymakers with practical guidance for building climate-resilient, diversified farming enterprises that enhance productivity, profitability, and environmental sustainability.