Events 14th November 2017

Becca Knight, 14 Nov 2017

Events 14th November 2017




Call for Papers – CASA 2018 in Beijing, China


The 31th International Conference on Computer Animation and Social Agents (CASA 2018) will be held on May 21-23, 2018 in Beijing, China.

The conference is organized by State Key Laboratory of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences, in cooperation with ACM-SIGGRAPH, under guidance of the Computer Graphics Society (CGS).


We invite submissions of research full papers, short papers, and posters on a broad range of topics, including but not limited to Computer Animation, Embodied Agents, Social Agents, Virtual and Augmented Reality, and Visualization

For more information, please visit the CASA 2018 website






British Library Doctoral Open Days


The British Library is running a series of Open Days for Doctoral Students, taking place in December 2017 as well as January and February 2018. The Doctoral Open Days are a chance for PhD students who are new to the Library to discover the British Library’s unique research materials. All events take place in the British Library Conference Centre at St Pancras, London, except for the event on Wednesday 31 January 2018, which takes place at the Library’s site in Boston Spa, Yorkshire. For further details of the all Open Days and how to book please visit the website. Places cost £10.00 including lunch and other refreshments.








Please find below details of a talk that will be lived streamed from Loughborough University on Friday 17 November at 1.30pm-2.30pm.


Professor Shigeki Sugano (Waseda University)

Intelligence for Human-Robot Interaction based on Mechanical Design

Robot is an integrated system of wide fields of basic technologies including Mechanisms, Materials, Actuators, Sensors, Computers, Control, and Intelligence. In designing intelligent robots, there are two conventional approaches. One is focused on computational intelligence, the other is focused on special mechanical design. Both of them have advantages and disadvantages. Computational intelligence realizes universal adaptability, and Special mechanical design realizes ideal specifications and low cost. Both approaches should be merged together to establish an intelligent robot development methodology. I propose an approach of mechanical intelligence that introduces both innovative mechanisms and learning functions into robots. In my presentation, I explain a basic concept and several examples of mechanical intelligence.

Live stream link:

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