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.
This book is uniquely designed for a thorough understanding of the fundamentals of the robotic grasping and fixturing (RGF) from the multifingered robot hand grasp, humanoid robot hand and basic fixture design principle, and evaluating and planning of robotic grasping/ fixturing. It also focuses on the modeling and applications of the RGF.
Three new chapters are added in this edition to cover the relevant basic theories of grasping feature analysis and the new principles of robotic hand design that reproduce the natural motion laws of human hand.
Compared with existing publications, this volume concentrates more on abstract formulation, i.e. mathematical modeling of robotic grasping and fixturing. Thus, it will be a good reference text for academic researchers, manufacturing and industrial engineers and a textbook for engineering graduate students.
Contents:
Readership: Researchers, professionals, academics and graduate students in mechanical and electrical and electronic 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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