Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Guidance and Control of Unmanned Vehicles demonstrates how the developed guidance laws can be applied to a wide class of unmanned vehicles, including aerial, ground, water, and underwater vehicles.
Drawing upon the author’s innovative approach and new research, this new edition presents a rigorous theory of guidance based on the parallel navigation rule and formulates an expanded guidance problem and guidance laws that can be applied to all unmanned vehicles. The book also discusses the obstacle avoidance problem for unmanned vehicles, and avoidance algorithms. Readers will learn how to choose optimal parameters of guidance laws based on the Lyapunov-Bellman approach. It also includes a new chapter on the role of unmanned vehicle operators.
This book will interest scientists, industry researchers, and practicing engineers working on the performance of various unmanned vehicles. It can serve as a basis for several graduate courses in the fields of electrical, mechanical, aerospace, and computer engineering.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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