Algorithms that control the computational processes relating sensors and actuators are indispensable for robot navigation and the perception of the world in which they move. Therefore, a deep understanding of how algorithms work to achieve this control is essential for the development of efficient and usable robots in a broad field of applications. An interdisciplinary group of scientists gathers every two years to document the progress in algorithmic foundations of robotics. This volume addresses in particular the areas of control theory, computational and differential geometry in robotics, and applications to core problems such as motion planning, navigation, sensor-based planning, and manipulation.
Bruce Donald is the William and Sue Gross Professor of Computer Science at Duke University, and Professor of Biochemistry in the Duke University Medical Center. He was a professor in the Computer Science Department at Cornell University from 1987-1998.
Donald received a B.A. from Yale University, and a Ph.D. from MIT. He has been a National Science Foundation Presidential Young Investigator, and was awarded a Guggenheim Fellowship for his work on algorithms for structural proteomics. Donald is a Fellow of the ACM.
