[robotics-worldwide] [meetings] Deadline extension: IROS 2017 Workshop on Learning for Collaborative Robotics: Enabling flexible, redeployable and agile industrial applications
Colasanto Luca (CR/RTC1.1-NA)
Luca.Colasanto at us.bosch.com
Mon Jul 17 11:28:39 PDT 2017
We apologize in advance if you receive multiple copies of this CFP.
*Deadline extended to: August 1st, 2017*
CALL FOR PAPERS
IROS 2017 Workshop on:
Learning for Collaborative Robotics:
Enabling flexible, redeployable and agile industrial applications
Workshop day: September 24
We are calling for submissions of 2-3 page extended abstracts related to the following topics:
Skill-Learning from Human Demonstrations
Human-In-The-Loop Control of Robotic Systems
Multi-Modal HRC Interfaces
Modeling and Analysis of Human Physical Behavior
Learning Human Sensorimotor Control
Stability of HRC Control Schemes
Expected Impact of HRC in Cross-Domain Applications
Mutual Learning and Adaptation in Human-Robot Systems
Case Studies and Experiments
Objective Measures: How to Quantify Efficiency, Safety and Intuitiveness in HRC?
Abstracts should be submitted as a PDF file using the IEEE format also used for the IROS conference itself:
Each of the ten accepted abstracts will be presented in a three minute spotlight presentation followed by a poster presentation.
Please submit the abstracts at the following website:
For more information regarding the workshop please refer to the following link:
Abstract submission deadline: extended to August 1
Acceptance notification deadline: August 19
Camera ready version submission: September 15
Workshop day: September 24
Collaborative robots (Cobots) are intended to safely operate alongside humans. They need the software capabilities to be quickly deployable in a new environment and set to work on a potentially difficult task with minimum effort and without the need for expert programming. The human-robot collaboration (HRC) field has provided tools like learning by demonstration and task learning to address some of these problems. Techniques like deep learning and reinforcement learning are rapidly advancing towards a robot autonomously acquiring complex skills.
Industry 4.0 has also introduced new challenges, requiring production units to be no longer isolated with highly specialized tasks, but gathered in a fully integrated and optimized production flow. As a result, the production volume can be easily aligned to the market fluctuation and the product diversity can increase to better meet the customer needs. In this new scenario, Cobots are intelligent machines that can be integrated into the labor force to increase the overall productivity. The main challenge here is to achieve human manipulation and grasping capabilities to fulfill similar tasks.
This workshop will bring together participants from academia and industry alike to share advancements and new technologies in the field of collaborative robotics. The attendees of this workshop will be introduced to collaborative robotics and learning techniques from academic experts in the field. Experts from the industry will explain the current needs in industrial manufacturing and robotics, which will inspire researchers with challenges drawn from real use case scenarios. Experts from the academia will bring the latest advancements in the field, providing potential new solutions to real problems. The organizers and the invited speakers of this workshop have a multidisciplinary background that will stimulate interesting discussions, promote the cross-fertilization of ideas and encourage future collaborations.
This is a full-day workshop that includes invited talks, poster sessions with accompanied spotlight talks, and include invited talks, spotlight presentations and poster sessions.
Confirmed Invited Speakers:
Jan Peters (TU Darmstadt)
Abderrahmane Kheddar (CNRS)
Rainer Bischoff (KUKA Roboter GmbH)
Bjoern Matthias (ABB)
Sami Haddadin (Franka Emika)
Luca Colasanto, (Robert Bosch LLC)
Juergen Hess, (Robert Bosch LLC)
Lorenzo Riano (Robert Bosch LLC)
Arash Ajoudani (Istituto Italiano di Tecnologia)
Tadej Petric (Jozef Stefan Institute)
Clemens Eppner (TU Berlin)
Benjamin Rosman (University of Witwatersrand)
Sylvain Calinon (Idiap Research Institute)
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