http://roboticscourseware.org daily 1 2007-10-02T21:46:46Z http://roboticscourseware.org/fullcourses/advanced-robotics-nu-singapore-me5402 adollar 2008-12-20T18:27:07Z Course text/html http://roboticscourseware.org/fullcourses/robot-kinematics-dynamics-and-control-nu-singapore adollar 2008-12-20T18:23:59Z Course text/html http://roboticscourseware.org/fullcourses/introduction-to-robotics-carnegie-mellon-16-311 adollar 2008-12-20T18:27:57Z Course text/html http://roboticscourseware.org/fullcourses/mikey-test-course adollar 2008-12-20T18:28:53Z Course text/html http://roboticscourseware.org/fullcourses/upenn-meam-620 See Syllabus for course description. adollar 2008-12-10T22:09:28Z Course text/html http://roboticscourseware.org/fullcourses/introduction-to-autonomous-mobile-robots Course based on the book by the same title, by Roland Siegwart and Illah Nourbakhsh, 2004. Roland Siegwart geometric reasoning motion planning tracking map building coordinate frames computer vision mobile agents sensors Roland Siegwart Illah Nourbakhsh 2008-12-10T22:09:26Z Course text/html http://roboticscourseware.org/fullcourses/motion-planning-and-applications-robots-digital This course presents a coherent computational framework for addressing the questions of automated motion planning. The foundation of the framework and the state-of-the-art algorithms are illustrated in the context of several important applications, including robotics, computational biology, and computer animation. The course covers both classic results and, selectively, advances from recent research. David Hsu geometric reasoning motion planning David Hsu 2008-12-10T22:09:18Z Course text/html http://roboticscourseware.org/fullcourses/introduction-to-robotics Introduction to computer-controlled robotic manipulators. Topics include coordinate frames and transformations, kinematic structure and solutions, statics and dynamics of serial and parallel chain manipulators, control and programming, introduction to path planning, introduction to teleoperation, robot design, and actuation and sensing devices. Laboratory exercises provide experience with industrial robot programming and robot simulation and control. Robert Wood control transformations biomimetic systems forward kinematics MEMS and microrobotics actuators teleoperation surgical robotics coordinate frames computer vision mobile agents inverse kinematics sensors "motion planning", jessical paulina 2008-12-10T22:08:58Z Course text/html http://roboticscourseware.org/fullcourses/mit-csail-robotics-science-and-systems Presents concepts, principles, and algorithms for computation and action in the physical world. Topics covered are: motion planning, geometric reasoning, kinematics and dynamics, state estimation, tracking, map building, manipulation, human-robot interaction, fault diagnosis, and embedded system development. Students specify and design a small scale yet complex robot capable of real time interaction with the natural world. Students may continue content in 6.142. Prior knowledge of one or more of the following areas would be useful: control, software, electronics or mechanical engineering. Daniela Rus Nick Roy Seth Teller geometric reasoning motion planning human-robot interaction state estimation map building tracking fault diagnosis manipulation kinematics dynamics "motion planning", embedded system development Jessica Banks 2008-12-10T22:08:52Z Course text/html