The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets. There will be an in-class midterm and final examination. These examinations will be open book.

Lectures will be based mainly, but not exclusively, on material in the Lecture Notes book. Lectures will follow roughly the same sequence as the material presented in the book, so it can be read in anticipation of the lectures Topics: robotics foundations in kinematics, dynamics, control, motion planning, trajectory generation, programming and design. Prerequisites: matrix algebra.

Oussama Khatib Professor, Computer Science Robotics To enable a new generation of robots that cooperate with humans and other robots in complex and unpredictable environments Mykel Kochenderfer Assistant Professor, Aeronautics and Astronautics, Computer Science (courtesy) Machine learning, decision theory To develop safe and efficient. Export to PDF Export to Word Pages. Viewtracker; Go to start of banner. Robotics Learning Resources. Introduction to Robotics (taught by Oussama Khatib at.

90 pages), Methods for the Study of the Electrode/Electrolyte Interface (ca. Carl hiaasen.

Khatib, Oussama Khatib's current research is in human-centered robotics, human-friendly robot design, dynamic simulations, and haptic interactions. His exploration in this research ranges from the autonomous ability of a robot to cooperate with a human to the haptic interaction of a user with an animated character or a surgical instrument. His research in human-centered robotics builds on a large body of studies he pursued over the past 25 years and published in over 200 contributions in the robotics field. Khatib was the Program Chair of ICRA2000 (San Francisco) and Editor of ``The Robotics Review' (MIT Press). He has served as the Director of the Stanford Computer Forum, an industry affiliate program. He is currently the President of the International Foundation of Robotics Research, IFRR, and Editor of STAR, Springer Tracts in Advanced Robotics. Khatib is IEEE fellow, Distinguished Lecturer of IEEE, and recipient of the JARA Award.

This book collects papers on the state of th eart in experimental robotics. Experimental Robotics is at the core of validating robotics research for both its systems science and theoretical foundations. Because robotics experiments are carried out on physical, complex machines whose controllers are subject to uncertainty, devising meaningful experiments and collecting statistically significant results pose important and unique challenges in robotics. Robotics experiments serve as a unifying theme for robotics system science and algorithmic foundations. These observations have led to the creation of the International Symposia on Experimental Robotics. The papers of the book were presented at the 2002 International Symposium on Experimental Robotics.