Cognitive Robotics and Artificial Intelligence

Join an audience at swissnex San Francisco as scientists from Switzerland and the US discuss their research on humanoid robots, cognitive robotics, and artificial intelligence (AI). Hear how some robots self-reflect, self-improve, and adapt to new circumstances, and whether it’s possible for robots of the future to possess the same cognitive characteristics as humans. Cornell University’s Hod Lipson is seeking to understand if machines can learn analytical laws automatically. Lipson has developed machines that take in information about their environment and discover natural laws all on their own, even learning to walk. Rolf Pfeifer directs the Artificial Intelligence Lab at the University of Zurich. Together with his scientific assistant Pascal Kaufmann, Pfeifer presents current AI research and a humanoid robot in the Ecce family referred to as Cronos. Instead of copying only the outward form of a human, Cronos mimics the inner structures as well—bones, joints, muscles, and tendons—and thus has more human-like actions and interactions in the world.”

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01.Introduction – 02 min 36 sec
02.Two Views of Intelligence: Computational vs. Embodied – 04 min 11 sec
03.Research on Artificial Intelligence and Robots – 03 min 30 sec
04.Mechanisms that Control Behavior – 04 min 15 sec
05.Artificial and Natural Systems – 08 min 47 sec
06.Task Distribution: Morphological Computation – 06 min 00 sec
07.Super-Compliant Soft Robot – 07 min 10 sec
08.The Power of the Right Materials – 03 min 31 sec
09.Summary: The Four Messages of Embodied Intelligence – 01 min 29 sec
10.Financing AI Research – 06 min 34 sec
11.Funding Startup Companies and Exhibitions – 02 min 37 sec
12.Iterative Learning – 03 min 32 sec
13.Developing Predictions – 02 min 00 sec
14.The Robotic Scientist – 03 min 19 sec
15.Breeding Robots in a Simulator – 04 min 42 sec
16.Adaptation in Simulation vs. Reality – 03 min 36 sec
17.A Robot Teaches Itself to Walk – 09 min 08 sec
18.System Identification: Automated Models – 03 min 36 sec
19.Symbolic Regression – 05 min 12 sec
20.Applications for Coevolved Models – 05 min 50 sec
21.Modeling Biological Dynamics – 06 min 10 sec
22.Scientific Responsibility – 02 min 16 sec

Recorded Date: Jan 19, 2012
Organizer: swissnex San Francisco


Pascal Kaufmann

Pascal Kaufmann graduated from the Swiss Federal Institute of Technology in Zurich (ETH Zurich), receiving his master’s degree in biology with a specialization in neuroscience. He carries out research at the Artificial Intelligence Laboratory in Oerlikon, focusing on biological and artificial neural networks, consciousness research, cyborg technology, and know-how trading. He is also founder, CEO, and chairman of the board of directors of Starmind, which gives companies access to latest artificial intelligence technology.

Hod Lipson

In 2001 Hod Lipson joined the departments of Mechanical & Aerospace Engineering and the faculty of Computing & Information Science of Cornell University in Ithaca, NY. He is also a member of the Computer Science and Computational Biology graduate fields at Cornell. Prior to this appointment, he was a postdoctoral researcher at Brandeis University’s Computer Science Department and a Lecturer at MIT’s Mechanical Engineering Department. He received his PhD in 1998 from the Technion – Israel Institute of Technology. Before joining academia, he spent several years as a research engineer in the mechanical, electronic and software industries.

Rolf Pfeifer

Rolf Pfeifer received his master’s degree in physics and mathematics and his Ph.D. in computer science from ETH Zurich in Switzerland. He spent three years as a post-doctoral fellow at Carnegie-Mellon University and at Yale University. Since 1987, he has been a professor of computer science in the Department of Informatics at the University of Zurich and Director of the Artificial Intelligence Laboratory. Pfeifer worked as a visiting professor and research fellow at Free University of Brussels (Belgium), the Beijing Open Laboratory for Cognitive Science (China), the MIT Artificial Intelligence laboratory in Cambridge, Massachusetts, the Neurosciences Institute (NSI) in San Diego, California, and the Sony Computer Science Laboratory in Paris. He was elected the 21st Century COE Professor of Information Science and Technology at the University of Tokyo, Japan, for 2003/2004, from where he held the first global, fully interactive, videoconferencing-based lecture series “The AI Lectures from Tokyo.” In 2009, he was elected as a Fellow of the School of Engineering at the University of Tokyo. He is a visiting professor at the Scuola Superiore Sant’Anna in Pisa, Italy, and at Shanghai Jiao Tong University in China.

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