CogRob-CoRo Joint Workshop

 

full-day workshop proposal

CORO logo

25 May 2018 , Brisbane

 


New horizons in cognitive robotics and AI

 

exploiting recent advances for predictive control and prospective interaction between agents


http://www.ieee-coro.org/



Organizers: TC-CoRo Chairs (Shingo Shimoda, Laurel Riek, David Vernon and Giulio Sandini)
and CogRob Chairs (David Rajaratnam , Maurice Pagnucco)

 

 

Abstract

  Recent advances in artificial intelligence (AI) have resulted in a wide range of research, commercial and industrial applications. Coupled with developments in sensing technologies, AI has also seen important applications in the field of robotics; especially in areas such as robot vision, mapping and localization.
  However, despite these advances, the impact of AI to the area of robot behavior and control has been more modest. While AI based languages and tools for high-level robot control have been developed, nevertheless there is still considerable effort required to understand how to robustly embed these high-level control paradigms within low-level robot controllers and sensors.
  Robots are generally controlled with feedback control loops. Feedback control loops respond to environmental changes in real-time, coping with the uncertainty of the environment through controller robustness. One of the important characteristic of a strong coupling of AI and robot control is to control robot behaviors with predictions of future events beyond simple real-time responses to environmental changes.
  In this multi-disciplinary workshop, we will discuss the problem of integrating high-level and low-level robot control. The workshop represents a collaboration between the AI-based cognitive robotics community (CogRob) and members of the IEEE Technical Committee on Cognitive Robotics (CoRo). First, we will clarify the problems of merging AI and robot control with invited the speakers from CogRob and RAS TC on Cognitive Robotics. Then we will discuss the importance of higher cognitive functions from both an application and industrial point of view, with respect to the recently developed notions of robot safety and partnership.

 

Invited Speakers

 

  Prof. Giulio Sandini

 

 

 

Title:

Abstract:

Biography: Istituto Italiano di Tecnologia and University of Genova, Italy

 

 

 

 

Laurel D. Riek portrait

 

  Prof. Laurel Riek

 

 

 

Title: Long Term Robot Learning: Modeling and Adaptability
Abstract: In order to build robots that can work longitudinally alongside people,
it is important they are adaptive to people and their environments, and personalize their behavior on the fly. This requires a high degree of personalized, long-term preference learning, which incorporates a dynamic understanding of human context,  activities, and goals. This talk will discuss our recent work in this area, within the novel application space of robot-assisted occupational therapy.

Biography: UC San Diego, USA

 

 

tamim.asfour

 

  Prof. Tamim Asfour

 

 

 

Title:

Abstract:

Biography: Professor Asfour is the head of the High Performance Humanoid Technologies Laboratory at the Karlsruhe Institute of Technology, Germany. He is a leader in the field of humanoid robotics, with a focus on engineering humanoid robotic systems to integrate mechano-informatics with the capabilities of predicting, acting and learning from human demonstration and sensorimotor experience.

 

 

 

Masoumeh Mansouri

 

  Dr. Masoumeh Mansouri

 

 

 


Title:

Abstract:

Biography: Dr Mansouri is a postdoctoral researcher at the Cognitive Robotics Systems Laboratory at Örebro University, Sweden. She is an active and emerging researcher within the cognitive robotics community and her work is focused towards the realization of fully AI-driven integrated robotic systems.

 

 

 

Title:

Abstract:

Biography: OMRON Research America

 

 

Poster Session - Call for Papers

  Participants are invited to submit an extended abstract for a poster session. We are interested in position papers describing specific questions and issues in cognitive robotics; a demo paper describing a demonstration of a robotic application, system or tool; a technical communication aimed at describing recent developments, or new projects that are not ready for publication as regular papers.

  Each presenter will be given a short period of time to outline their research to the workshop audience, followed by an extensive poster presentation and discussion.

  For submission instructions and details see the call-for-papers.

 

 

Tentative Schedule

 

Time

Talk

Speaker

9:00 – 9:20

Opening Remarks

by the organizers

9:20 – 10:00

Talk 1

 

10:00 - 10:40

Talk 2

 

Coffee break

11:00 – 11:40

Talk 3

 

11:40 – 12:20

Talk 4

 

Lunch Break

14:00 – 14:40

Talk 5

 

14:40 – 15:20

Talk 6

 

Coffee break

15:40 – 16:30

Panel Discussions

 

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