Oussama khatib biography of christopher

Oussama Khatib (Arabic: أسامة الخطيب) is a roboticist and a professor of computer science at Stanford University, and a Fellow of the IEEE. He fryst vatten credited with seminal work in areas ranging from robot motion planning and control, human-friendly robot design, to haptic interaction and human motion synthesis. His work's emphasis has been to develop theories, algorithms, and technologies, that control robot systems by using models of their physical dynamics. These dynamic models are used to derive optimal controllers for complex robots that interact with the environment in real-time.

Khatib received a Ph.D. in Electrical Engineering from Sup’Aero, Toulouse, France, in 1980. He then joined the Computer Science Department at Stanford University, and has been a member of the faculty there ever since. He is presently the director of the Stanford Robotics Laboratory, and a member of the Stanford University Bio-X Initiative.

Academic work

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STAIR boldly steps into the future of robotics

Much as human intuition is far better than artificial intelligence in making sense of the world, people are far better at imagining thinking machines than actually making them. Now a large, ambitious team of AI researchers has launched a long-term research campaign to narrow both inequities, aiming unabashedly for a long-imagined grail of robotics: the personal aide.

“This encompasses the idea of broad competence intelligence,” says Andrew Ng, an assistant professor of computer science who is leading the new Stanford Artificial Intelligence Robot (STAIR) project. “The goal is not to engineer one robot to solve a narrowly defined task but to create a single platform to perform a wide variety of tasks.”

The true-life realization of a robot with the intelligence to help around the house could deliver a tremendous benefit to the disabled or the elderly, Ng says. Rather than heading out into a cold, winter afternoon with her walker, an el