With the recent debacle of cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of comprehending the security and regulations of Web3, cryptocurrency, and blockchain projects has been magnified. To avoid similar economic and security failures in future Web3 projects, the book provides an essential guide that offers a comprehensive and systematic approach to addressing security concerns. Written by experts in tech and finance, it provides an objective, professional, and in-depth analysis of security and privacy issues associated with Web3 and blockchain projects. This book highlights the security related to foundational Web3 building blocks such as blockchain, crypto wallets, smart contracts, and token economics, and describes recommended security processes and procedures for Web3 application development such as DevSecOps, data analytics, and data authenticity via the oracle. Moreover, the book discusses the legal and regulatory aspects of Web3 and the reasons behind the failures of well-known Web3 projects. It also contains detailed case studies of web3 projects, analyses of the reasons for their failures, and some pending legal cases. This book is an excellent resource for a diverse range of readers, with particular appeal to web3 developers, architects, project owners, and cybersecurity professionals seeking to deepen their knowledge of Web3 security.

"Repetitive Motion Planning and Control of Redundant Robot Manipulators" presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields.

Yunong Zhang is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; Zhijun Zhang is a research fellow working at the same institute.

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Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields. Yunong Zhang is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; Zhijun Zhang is a research fellow working at the same institute.