[PlanetKR] WORKSHOP: SEMANTIC POLICY AND ACTION REPRESENTATION FOR AUTONOMOUS ROBOTS / IROS 2021

[Mehul Bhatt]

[Call for participation]


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WORKSHOP:  SEMANTIC POLICY AND ACTION REPRESENTATION FOR AUTONOMOUS ROBOTS    /   IROS 2021
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@ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
Prague, Czech Republic. September 27, 2021

5th International Workshop on:
Semantic Policy and Action Representations for Autonomous Robots (SPAR)

Date: September 27, 2021.
Starting time: 14 hrs (CEST)
Zoom details & schedule: https://sites.google.com/view/spar-2021/ <https://sites.google.com/view/spar-2021/>


WORKSHOP PROGRAMME   >   Invited Talks.  Panel Discussion.  Poster Session+Spotlights.  Awards.


INVITED SPEAKERS   >

	—  Kalesha Bullard, FAIR
	—  Karthik Desinh, Univ. of Washington
	—  Aleksandra Faust, Google Brain
	—  Caelan Garrett, MIT
	—  Nakul Gopalan, Georgia Tech
	—  Gayane Kazhoyan, University of Bremen
	—  George Konidaris, Brown University
	—  Oliver Kroemer, Carnegie Mellon
	—  Tetsuya Ogata, Waseda University
	—  Matteo Severiano, University of Innsbruck
	—  Zhou Yu, Columbia University


SPAR 2021 ORGANISERS   >

	—  Chris Paxton (NVIDIA, United States)
	—  Karinne Ramirez-Amaro (Chalmers University of Technology, Sweden)
	—  Jesse Thomason (University of Southern California, United States)
	—  Maria Eugenia Cabrera (University of Massachusetts Lowell, United States)
	—  Mehul Bhatt (Örebro University, Sweden)


The agenda of SPAR 2021 addresses two main questions:

—  How can we learn scalable and general semantic representations? In recent years, there has been a substantial contribution in semantic policy and action representation in the fields of robotics, computer vision, and machine learning. In this respect, we would like to invite experts in academia and motivate them to comment on the recent advances in semantic reasoning by addressing the problem of linking continuous sensory experiences and symbolic constructions to couple perception and execution of actions. In particular, we want to explore how these can make robot learning more scalable and generalisable to new tasks and environments. 

—  How can semantic information be used to create Explainable AI? We would like to invite researchers from a broad range of areas including task and motion planning, language learning, general-purpose machine learning, and human-robot interaction. Much of action semantics is definitionally tied to how robots and humans communicate, and one fundamental feature of these approaches should be that they allow a broad variety of people to benefit from advances in robotics, and to work alongside robots outside of laboratory environments. Building more understandable action representations is important as a way of building robotic systems that benefit society.


INFO  >  spar.workshop at gmail.com <mailto:spar.workshop at gmail.com>   /   https://sites.google.com/view/spar-2021/ <https://sites.google.com/view/spar-2021/>
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Professor - School of Science and Technology - Örebro University, Sweden
www.mehulbhatt.org <https://mailfilter.sunet.se/canit/urlproxy.php?_q=aHR0cHM6Ly91cmxkZWZlbnNlLnByb29mcG9pbnQuY29tL3YyL3VybD91PWh0dHAtM0FfX3d3dy5tZWh1bGJoYXR0Lm9yZ18mZD1Ed01HYVEmYz1hTG5TNlA4TmcwelNOaENGMDRPV0ltUV9IZTJMNjlzTldHM1BieGV5aWVFJnI9X2puQ1hvUTVfRTRUVUFycEM5MWVtZyZtPXJWcXB2cXNvakFVWFd2ZzZ0Y2d6UTN0MldEYTZSbTRyV20tQWNSNl9nZU0mcz1lRGpCZ2NsT0t1QVc2OWwyemh0RVUwenZUSGswUlo5eFJVQlBUbkRVME5rJmU9&_s=bWVodWwuYmhhdHRAb3J1LnNl&_c=5332fdfa&_r=b3J1LXNl>  |  SE:  +46 19 303251  /  mehul.bhatt at oru.se <mailto:mehul.bhatt at oru.se>

CoDesign Lab   /   Cognition. AI. Interaction. Design.
www.codesign-lab.org <https://mailfilter.sunet.se/canit/urlproxy.php?_q=aHR0cHM6Ly91cmxkZWZlbnNlLnByb29mcG9pbnQuY29tL3YyL3VybD91PWh0dHAtM0FfX3d3dy5jb2Rlc2lnbi0yRGxhYi5vcmdfJmQ9RHdNR2FRJmM9YUxuUzZQOE5nMHpTTmhDRjA0T1dJbVFfSGUyTDY5c05XRzNQYnhleWllRSZyPV9qbkNYb1E1X0U0VFVBcnBDOTFlbWcmbT1yVnFwdnFzb2pBVVhXdmc2dGNnelEzdDJXRGE2Um00cldtLUFjUjZfZ2VNJnM9ckg5aVFFbGpFa01sZFExMmZtOTE3b0QyaGJybm5vV1lWRjZDVFNEeGZkRSZlPQ%3D%3D&_s=bWVodWwuYmhhdHRAb3J1LnNl&_c=8453b6f9&_r=b3J1LXNl>   /   info at codesign-lab.org <mailto:info at codesign-lab.org>

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