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Conference Program 

Program Overview 







 Workshops and Tutorials

 Main Conference
Day 1

 Main Conference
Day 2

 Main Conference
Day 3

Technical Tour:
Visit the labs in Karlsruhe: DHBW, KIT, FZI and more

 Welcome Reception



 Farewell Reception

 Final Farewell Reception


   Download the preliminary program


Program Overview
Conference Room Seminar Room 1 Seminar Room 2

 Monday, June 11, 2018
09:30/10:00 Workshop Full day
13:30-17:50 Workshop Half-day and Tutorial
17:50 End of Workshops and Tutorial
18:00-22:00 Welcome Reception

Tuesday, June 12, 2018
09:00-09:30 Welcome Greetings

 Keynote 1


Coffee Break

10:50-12:30 Session 1 - Human-robot interaction Session 2 - Aerial vehicles Session 3 - Sensing and actuation

Lunch Break

13:30-14:30 Keynote 2

Coffee Break

14:50-16:30 Session 4 - Machine learning for robotics Session 5 - Human detection and Action recognition Session 6 - Optimization and control

Wednesday, June 13, 2018
08:50-10:30 Session 7 - Computer vision 1 Session 8 - Path planning 1 Session 9 - Application 1

Coffee Break

10:50-12:30 Session 10 - Computer vision 2 Session 11 - Path planning 2 Session 12 - Application 2

Lunch Break

13:30-14:30 Keynote 3

Coffee Break

14:50-16:30 Session 13 - 3D sensing Session 14 - Proving ground for automated driving (Invited Session) Session 15 - Service robotics
17:15-23-15 Banquet

Thursday, June 14, 2018
08:50-10:30 Session 16 - Robot teaching Session 17 - Robot design 1 Session 18 - Intelligent systems

Coffee Break

10:50-12:30 Session 19 - Multi-Agent systems Session 20 - Robot design 2 Session 21 - Navigation

Lunch Break

13:30-14:30 Keynote 4

Coffee Break

14:50-15:50 IAS Assembly
18:30-20:30 Farewell

Friday, June 15, 2018
10:00-18:00 Lab Tour Karlsruhe
18:00-21:00 Final Farewell


We are very pleased to welcome our keynote Speakers: 

Keynote 1: Tuesday,  June 12, 09:30-10:30

Robot Technology for Accident Response and Decommission of Fukushima Daiichi Nuclear Power Stations
Hajime Asama, The University of Tokyo, Japan




The Great Eastern Japan Earthquake and Tsunami occurred in 2011, and the accident of Fukushima Daiichi Nuclear Power Plant occurred. Utilization of remote-controlled machine technology including robot technology was essential for accident response and decommissioning of Fukushima Daiichi Nuclear Power Stations to accomplish various tasks in the high-radiation environment. In this presentation, the robot technologies which have been developed and utilized for the disaster response and the decommissioning are introduced, and technologies and its societal dissemination, which are demanded for disaster prevention and disaster response including decommissioning of Fukushima Daiichi NPS in the future, are discussed..

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Biography: Hajime Asama
received his M. S. and Dr. Eng. in Engineering from the University of Tokyo in 1984 and 1989. He worked in RIKEN Japan from 1986 to 2002 as a research scientist, etc. He became a professor of RACE and School of Engineering of the University of Tokyo in 2002 and 2009. He received RSJ Distinguished Service Award in 2013, etc. He was the vice-president of Robotics Society of Japan in 2011-2012, an AdCom member of IEEE Robotics and Automation Society in 2007-2009. Currently, He is the president-elect of IFAC since 2017, and the president of International Society for Intelligent Autonomous Systems since 2014. He is currently council member of Science Council of Japan since 2017. He has been engaged in research on service robotics, distributed autonomous robotic systems, ambient intelligence, service engineering, embodied brain systems, and human interface, and activities on societal dissemination of robot technology for disaster response robots, decommissioning of nuclear power plants, and other services. He is a Fellow of IEEE, JSME and RSJ.


Keynote 2: Tuesday,  June 12, 13:30-14:30

Building robots that learn to work with, and work for, human Supervisors
Gregory Dudek, McGill University, Canada





Abstract: In this talk I will discuss the development of autonomous mobile robots that navigate outdoors in unstructured environments under the remote supervision of human supervisors.  We are interested in two inter-related problems that focus on satisfaction on human-driven needs: assuring that the robot is trusted by a human supervisor, and collecting data according to learned behavioural cues.
In the case of trust, we focus on building models of human-robot trust when a human supervisor closely monitors an autonomous vehicle, such that the robot can quantitatively model, and then modulate, the amount of trust that a operator may have.  In this case we focus on human-robot interaction and classical learning methods.  In the context of data collection, we focus of problems where an autonomous vehicle is deployed to collect data in the air or underwater, and human guidance takes the form on example data used to teach the robot how to behave.



Biography: Gregory Dudek studies robotics and intelligent systems.  He is a Professor with the McGill School of Computer Science, a member of the McGill Research Centre for Intelligent Machines (CIM) and an Associate member of the Dept. of Electrical Engineering at McGill University. He is the founder and the director of the McGill Mobile Robotics Laboratory. He was the Director of the McGill School of Computer Science between 2008-2016 and is also the former Director of McGill’s Research Center for Intelligent Machines. Since 2012, Prof. Dudek has lead the NSERC Canadian Field Robotics Network (NCFRN) as its Scientific Director, leading the network initiatives with 8 renowned Canadian universities as well as 10 industrial partners and 3 government agencies. He has co-authored over 250 research papers on subjects including: visual object description and recognition, navigation and map construction in robotics, distributed system design and biological perception.

In 2008 he was made James McGill Chair. In 2010 he was awarded the Fessenden Professorship in Science Innovation and in the same year he also received the Award for Research Excellence and Service to the Research Community, from the Canadian Image Processing and Pattern Recognition Society (CIPPRS). He has chaired and been otherwise involved in numerous national and international conferences and professional activities and is the general chair of the upcoming IEEE International Conference on Robotics and Automation (ICRA), to be held in Montreal in 2019. http://www.cim.mcgill.ca/~dudek



Keynote 3: Wednesday,  June 13, 13:30-14:30

Intuitive operation and programming of highly redundant mobile Manipulators
Christian Scheurer , KUKA, Germany




 Mobile manipulators with a large number of degrees of freedom have increasingly become of interest to industrial and service robotics, because of their unlimited workspace and their remarkable versatility. Robots have to work in unstructured environments together with humans, where safety aspects have to be taken into account and fast reactions to the dynamically changing environment is needed. This leads to the necessity of controlling the unified robotic system and exploiting their redundancy. Intuitive operation and programming has to be tackled to really use the flexibility and capability these complex robot systems are offering. 

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Biography: Christian Scheurer is a senior research engineer and working at KUKA’s Corporate Research department since 2007. He holds a degree in Computer Science issued by the University of Karlsruhe and wrote his thesis about robot motion planning for the humanoid robot ARMAR during his student exchange at the Carnegie Mellon University in Pittsburgh, USA. He continues this topic of general motion planning for industrial and mobile service robots at KUKA. He is familiar with the major motion planning approaches and also published various papers and patents. Grasp planning, trajectory generation and redundancy optimization also belong to his field of competence.

Keynote 4: Thursday,  June 14, 13:30-14:30

Human friendly robot Society
Rinie van Est , Rathenau Instituut, The Netherlands





Our technological society is entering a new phase. This is driven by new intelligent systems: from artificial intelligence and robots in healthcare to self-driving vehicles, sensor networks, big data, 3D printing, drones, and more. This broad development is captured in terms such as the Internet of (Robotic) Things. The technological developments offer many opportunities, but also raise a bucket full of societal, ethical and regulatory questions.The big question now is how do we, as a society, handle this new phase of the IT revolution? History shows that technology does not just happen to us, but takes shape in all kinds of social practices by means of technological and social innovation. This lecture explores what kind of social innovations are needed to create a human friendly robot society. To achieve a human friendly robot society it is crucial to give direction to the energy and vitality of innovation from public values. In essence, this concerns three lines of action. Governments, firms, scientists and engineers must strive to ensure that our society can benefit as much as possible from the blessings of intelligent machines, that citizens are protected as far as possible against the risks of intelligent machines and that citizens can participate in the democratic debate on the future of the robot society.

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Rinie van Est works at the Rathenau Instituut, where he is primarily concerned with emerging technologies such as robotics, AI, and synthetic biology. He also lectures at the School of Innovation Sciences of the Eindhoven University of Technology. Some recent publications: Human rights in the robot age (2017), A fair share: safeguarding public interests in the sharing and gig economy (2017), Just ordinary robots: Automation from love to war (2016), Working on the robot society (2015), Intimate technology: The battle for our body and behaviour (2014).


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