机器人的革命
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Yuan
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Yuan
8th International Conference on Swarm Intelligence
When: View in Calendar » 2012年09月12日 – 2011年10月14日 (all-day) Where: City of Brussels, Belgium 
Swarm intelligence is a relatively new discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed many models to explain interesting aspects of social insect behavior such as self-organization and shape-formation. Recently, algorithms inspired by these models have been proposed to solve difficult computational problems.An example of a particularly successful research direction in swarm intelligence is ant colony optimization, the main focus of which is on discrete optimization problems. Ant colony optimization has been applied successfully to a large number of difficult discrete optimization problems including the traveling salesman problem, the quadratic assignment problem, scheduling, vehicle routing, etc., as well as to routing in telecommunication networks. Another interesting approach is that of particle swarm optimization, that focuses on continuous optimization problems. Here too, a number of successful applications can be found in the recent literature. Swarm robotics is another relevant field. Here, the focus is on applying swarm intelligence techniques to the control of large groups of cooperating autonomous robots.
ANTS 2012 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.
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Yuan
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Yuan
Hanson Robokind: 拥有面部表情的人形机器人
Hanson Robotics曾经研制了著名的“爱因斯坦”机器人，现在他们将Frubber专利技术（面部表情材料）推向市场，Robokind的大小和配置和Nao和接近，Robokind拥有两个摄像头、面部表情等额外的设备，同时价格也很有竞争力：$8,500-$14,750。
[source]
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Yuan
WAFR 2012
When: View in Calendar » 2012年06月13日 – 2012年06月15日 (all-day) Where: Cambridge, MA, USA 
The International Workshop on the Algorithmic Foundations of Robotics (WAFR) is a single-track workshop devoted to recent advances on algorithmic problems in robotics. Robot algorithms are a fundamental component of robotic systems. These algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of robot algorithms raise a unique combination of questions from many fields, including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science.
