A Student Guide to AI and Robotics: With Real-World Case Studies and Programming Examples
暫譯: AI 與 Robotics 學生指南：結合真實世界案例研究與程式設計範例

本書以實用且易於理解的方式介紹人工智慧（AI）與機器人學，呈現推動智慧系統發展的基礎技術。內容涵蓋機器學習、感知、控制與自主決策等重要主題，並在理論概念與實務應用之間取得平衡。

透過精選範例與案例研究，本書探討各種機器人平台，以及應用於不同產業的 AI 技術，深入解析這些技術在真實情境中的轉型潛力。本書著重於實作學習，介紹 AI 與機器人學中常用的程式語言與工具，協助讀者有效應用相關概念與技術。此外，本書也說明建構安全且負責任的系統的重要性，並探討人類與 AI 協作的未來發展。

本書是 AI 與機器人學入門課程的重要參考資源，提供讀者在這些快速發展領域中進一步學習所需的基礎知識。

Mahwish Zahara is an artificial intelligence (AI) lecturer, published author, and guest speaker, specialising in marketing strategy, data science, and applied AI. She designed and launched one of the UK's first ever Master's courses in AI in Marketing, which enabled students to learn machine learning workflows, advanced data applications, and how to apply them to real world business problems.

An expert in marketing strategy with a PhD in Business and Marketing, her research explores the intersection of digital technologies and marketing, with a focus on generative AI, marketing automation, consumer insights, and algorithmic decision-making. Through her research and teaching, she embeds new technologies into the learning journey to develop technical and critical thinking skills for the AI-enabled future global economy.

She has contributed curriculum design and innovation at academic and commercial levels, developing frameworks for ethical and strategic use of large language models for teaching and research outputs. Delivering hands-on experience and an industry-facing approach to learning, her students gain experience with AI model programming workflows, large model architectures, and cloud-based computing platforms while developing critical thought around their limitations, metrics for performance, and real-world applicability.

She investigates frontier technologies like quantum computing, AI-driven robotics, and the next generation of intelligent systems. With recent publications and editing AI in marketing texts on AI-powered customer experience, conversational AI, and ethics of AI in marketing, Dr Zahara continues to contribute to innovation at the forefront of AI and marketing.

Tamour Raza conducts research around artificial intelligence and robotics engineering, specialising in machine learning, algorithmic decision-making, and designing intelligent socio-technical systems. His work has covered both theoretical and computational principles for supervised and unsupervised learning; prediction; optimisation-based decision-making; and modelling systems that learn through feedback commonly used in robotics and autonomous systems.

He is particularly interested in how intelligent systems behave at scale, deployed in intricate settings defined by uncertainty, variability, real-time operations, and large, heterogeneous end-users. Tamour explores system performance, robustness, and adaptation, while considering broader implications such systems have when deployed at scale.

Tamour's previous academic research has surrounded artificial intelligence systems within industry sectors, publishing papers around algorithmic systems in marketing and how technologies such as recommender systems, customer intelligence models, and real-time decision engines affect organisational decision-making processes and end-user experiences. He is the co-author of AI textbook A Student Guide to AI and Robotics, which closely ties his research to real-world applications.

Tamour takes a socio-technical approach to his research and considers, alongside raw technical performance metrics of machine learning systems, how they may be used at an organisational level, and what their broader ethical and societal consequences are. He aims to design systems that are rigorous, interpretable, and accountable.

Obianuju Blossom Ochuba specialises in robotics and artificial intelligence with a focus on intelligent systems, automation, and data-driven solutions. She graduated with a Master of Science degree in Robotics and Artificial Intelligence as well as a degree in Electrical and Electronic Engineering.

She has experience in robotic perception, adaptive control, automation, and intelligent data systems. She also possesses knowledge in programming and algorithm development, which she has utilised while working in technical and analytics roles in the industry. She has worked on projects involving automation pipelines, data systems/architecture, and AI-driven decision-making systems.

Her expertise includes building and testing smart systems in real-world scenarios. She's always curious about how well these systems perform and how they can be scaled. Obianuju often implements her work from an engineering standpoint and an applied standpoint, as she loves to understand the theory behind practical implementations. She's passionate about creating and helping to build robust and scalable AI systems as well as helping technology function in complex real-world scenarios.

Mahwish Zahara 是人工智慧（AI）講師、出版作家與客座講者，專長為行銷策略、資料科學與 AI 應用。她設計並開設了英國最早的 AI 行銷碩士課程之一，讓學生學習機器學習工作流程、進階資料應用，以及如何將這些技術應用於現實世界的商業問題。

她擁有商業與行銷博士學位，是行銷策略專家。她的研究探討數位科技與行銷的交集，著重於生成式 AI、行銷自動化、消費者洞察與演算法決策。透過研究與教學，她將新興科技融入學習歷程，培養學生的技術能力與批判性思考，以因應 AI 驅動的未來全球經濟。

她曾在學術與商業領域參與課程設計與創新，並為大型語言模型在教學與研究成果中的倫理及策略性運用建立相關框架。透過提供實作經驗與面向產業的學習方式，她的學生能接觸 AI 模型程式設計工作流程、大型模型架構與雲端運算平台，同時培養對這些技術限制、效能評估指標及其現實世界適用性的批判性思考。

她研究量子運算、AI 驅動的機器人技術，以及下一代智慧系統等前沿科技。近期她出版並編輯了多本探討 AI 行銷的著作，主題涵蓋 AI 驅動的客戶體驗、對話式 AI，以及 AI 行銷倫理。Zahara 博士持續在 AI 與行銷的前沿領域為創新作出貢獻。

Tamour Raza 從事人工智慧與機器人工程研究，專長為機器學習、演算法決策，以及智慧社會技術系統的設計。他的研究涵蓋監督式與非監督式學習的理論及計算原理、預測、以最佳化為基礎的決策，以及透過回饋進行學習的系統建模；這些技術通常應用於機器人與自主系統。

他特別關注智慧系統在大規模運作時的行為，以及這些系統部署於複雜環境時所面臨的問題。這類環境通常具有不確定性、變異性、即時運作需求，以及大量且異質的終端使用者。Tamour 探討系統的效能、穩健性與適應能力，同時考量這些系統大規模部署後所產生的廣泛影響。

Tamour 過去的學術研究聚焦於產業領域中的人工智慧系統，並發表了多篇論文，探討行銷中的演算法系統，以及推薦系統、客戶智慧模型與即時決策引擎等技術如何影響組織決策流程與終端使用者體驗。他也是 AI 教科書《A Student Guide to AI and Robotics》的共同作者，該書緊密結合他的研究與現實世界的應用。

Tamour 採取社會技術取向進行研究。除了考量機器學習系統的原始技術效能指標，他也關注這些系統如何在組織層級中被使用，以及它們可能帶來的更廣泛倫理與社會後果。他致力於設計嚴謹、可解釋且具問責性的系統。

Obianuju Blossom Ochuba 專長於機器人技術與人工智慧，研究重點包括智慧系統、自動化與資料驅動的解決方案。她取得機器人技術與人工智慧理學碩士學位，以及電機與電子工程學位。

她具備機器人感知、適應性控制、自動化與智慧資料系統等領域的經驗。她也熟悉程式設計與演算法開發，並曾在產業中的技術與分析職位上運用這些能力。她參與過自動化流程、資料系統／架構，以及 AI 驅動決策系統等相關專案。

她擅長在現實世界情境中建置與測試智慧系統。她始終對這些系統的效能及其擴展方式抱持高度好奇。Obianuju 經常從工程與應用的角度實踐工作，因為她熱愛理解實務實作背後的理論。她致力於建立及協助開發穩健且可擴展的 AI 系統，也熱衷於協助科技在複雜的現實世界情境中發揮作用。