Computer Science: Where Is the Next Frontier?
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
FIR position profiles using an infinitely continuous kernel
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Physically valid statistical models for human motion generation
ACM Transactions on Graphics (TOG)
Adaptive control for a five-fingered prosthetic hand with unknown mass and inertia
WSEAS TRANSACTIONS on SYSTEMS
Static analysis of spatial parallel manipulators by means of the principle of virtual work
Robotics and Computer-Integrated Manufacturing
Simple data-driven control for simulated bipeds
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Simple data-driven control for simulated bipeds
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Modeling and Control of MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle
Journal of Intelligent and Robotic Systems
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Theory of Applied Robotics: Kinematics, Dynamics, and Control is appropriate for courses in robotics that emphasize kinematics, dynamics, and control. The contents of this book are presented at a theoretical-practical level. It explains robotics concepts in detail, concentrating on their practical use. Related theorems and formal proofs are provided, as are real-life applications. Students, researchers, and practicing engineers alike will appreciate this user-friendly presentation of a wealth of robotics topics, most notably orientation, velocity, and forward kinematics. Theory of Applied Robotics: Kinematics, Dynamics, and Control includes: Richly illustrated chapters and over 200 diagrams to help readers visualize concepts. More than 300 detailed examples with fully-worked solutions which expose readers to a balanced and broad understanding of robotics in todays world. A wealth of detailed problem sets and challenge problems for each chapter for the more advanced reader. A rich solutions manual which is available for instructors. Reza N. Jazar is an associate professor in the Mechanical Engineering Department at Manhattan College. His main research areas is nonlinear dynamic systems, including robotics, vehicles, and MEMS. He's written extensively on many diverse topics in applied mathematics and mechanical engineering subjects. He regularly teaches undergraduate and graduate-level courses on mechanical engineering.