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ShanghAI Lectures 2009

by   -   February 20, 2014


Robocub 2013 in Eindhoven.

DustinLi_0Guest talk in the ShanghAI Lectures, 2009-12-17

In the past decade, soccer robots have been developed greatly, and some of the robot soccer games have been showing more and more attractions. However, many open problems such as how to train soccer robots in the real world, and how the soccer robots learn the action skills incrementally or communicatively have been challenging us.

by   -   February 13, 2014

AdrianneWortzelGuest talk in the ShanghAI Lectures, 2009-12-17

This lecture discusses the relevance of embedding dramatic scenarios and expressive language into methodologies employed in the research and development of biochemical and/or electronic sentient beings. The author demonstrates how adding imaginative modalities to current practices can afford a profound and positive effect on outcomes.

by   -   February 6, 2014

HiroshiYokoiGuest talk in the ShanghAI Lectures, 2009-12-17

In this guest lecture, Hiroshi Yokoi from University of Electro-Communication, Chofu, Japan, talks about prosthetic robot hands, EMG devices, bio-feedback, and the Japanese trends in Brain-Machine Interfaces.

by   -   January 30, 2014

WenweiYuGuest talk in the ShanghAI Lectures, 2009-12-17

In this guest lecture, Wenwei Yu from Chiba University, Japan, introduces his approach to assistive technology and talks about (simulation) experiments in human walking and reflexive responses.

by   -   January 23, 2014

SukhanLeeGuest talk in the ShanghAI Lectures, 2009-12-10

Recognition has been a subject of intense research interest to computer vision, AI, cognitive science, as well as robotics communities for, at least, several decades. As a result, a rich list of research outcomes on computer based recognition and understanding of symbols, objects, faces, gestures, as well as scenes are available to date in the form of publications, open source libraries, as well as commercial products. One of the major issues in recognition, especially in 2D recognition, has been how to deal with variations due to illumination, perspective, distance, texture as well as occlusion.

by   -   January 16, 2014

AloisKnollGuest talk in the ShanghAI Lectures, 2009-12-10

The success of the human species critically depends on our extraordinary ability to engage in joint action. Our perceptions, decisions and behaviour are tuned to those of others with whom we share beliefs, intentions and goals and thus form a group. These insights underlie the motivation of the JAST project, from which this presentation shows results. One of these results was the development of a robot that is able to joint-actly work together with a human on a collaborative assembly task.

by   -   January 9, 2014

Nefti-MezianiSamiaGuest talk in the ShanghAI Lectures, 2009-12-03

Among the evolutionary algorithms, Particle Swarm Optimization (PSO) represents an optimization method where individuals, called particles, collaborate as a swarm to reach a collective goal. However, the usual logical decision processes used in the literature to model individual agent behaviour are generally found to be inadequate when the phenomena of uncertainty and risk are factored into the evolutionary process; and also incapable of fully emulating actual human decision-making behaviours under risk and uncertainty.

by   -   January 2, 2014

ShanghAIGlobeColor_mini_0_0Guest talk in the ShanghAI Lectures, 2009-12-03

In this talk Professor Lueg will discuss how embodiment and scaffolding perspectives discussed in the ShanghAI Lectures on Natural and Artificial Intelligence can also be used to look at, and re-interpret, research topics in human computer interaction ranging from human information behavior in the real world to information interaction in online communities. In his work Professor Lueg understands human computer interaction as interaction with pretty much any kind of computer-based system ranging from desktop computers and mobile phones to microwave ovens and parking meters.

by   -   December 27, 2013

Guest talk in the ShanghAI Lectures, 2009-11-26
ChenSwarm intelligence of mobile robots is defined as a mobile robot network with only local interactions and finite sensing capabilities which can achieve global objectives and collective behaviors. The most well-known examples of swarm intelligence in nature are discovered in the collective behaviors of ant and bee colonies. Self-healing is one of the most important components in swarm intelligence.

by   -   December 19, 2013

ShanghAIGlobeColor_mini_0_0Guest talk in the ShanghAI Lectures, 2009-11-19

In this guest lecture, Eugen Elmiger from maxon motor ag, Sachseln, Switzerland, gives an overview of the precision motors his company produces, and shows how they are used in robotics and other areas.

by   -   December 12, 2013

JoshBongard_0_0Guest talk in the ShanghAI Lectures, 2009-11-19

If the body plays a central role in intelligence, as a roboticist, how do we choose an appropriate body for our robot? Evolutionary robotics allows us to automatically optimize the physical layout of our robots as we also optimize their controllers.

by   -   December 5, 2013

HisatoKobayashiGuest talk in the ShanghAI Lectures, 2009-11-12

If we try to describe any kinds of robot by mathematical models, they must be very complicated equations. Even, such robotic systems are categorized as a conventional dynamic system consist of positive definite inertia matrix, Coriolis’ force term, friction term, gravity term and so on, we cannot derive any authentic control scheme from such complicated nonlinear systems.

Of course, we can make a servo system for a joint control but we do not have any systematic control scheme for whole robots.

by   -   November 28, 2013

ShanghAIGlobeColor_mini_0_0Guest talk in the ShanghAI Lectures, 2009-11-12

“It has increasingly been realized that some of the key characteristics underlying real-world complex dynamical systems (such as economical, financial and ecological systems) can only been modelled and thus understood and predicted at qualitative level directly.

by   -   November 21, 2013

KohHosoda_0Guest talk in the ShanghAI Lectures, 2009-11-05

Animals and Humans utilize their compliance: muscular system and soft skin. The compliance plays an important role to exhibit intelligent behavior. To build an intelligent artificial agent, therefore, soft material is crucial. In the lecture, I will talk about several robots consisting of soft material for adaptive behavior. They are viewed from the design principles: cheap design, material property and redundancy.

by   -   November 14, 2013

ShanghAIGlobeColor_mini_0_0Guest talk in the ShanghAI Lectures, 2009-11-05

In this guest lecture, SAYA, the robotic teacher from Japan, introduces herself and talks about the Tokyo University of Science, where she was constructed by Hiroshi Kobayashi.

Interdisciplinary teams
January 10, 2014

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