[robotics-worldwide] [meetings] Call for Participation : 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
Wed Sep 20 15:11:19 PDT 2017


IROS 2017 Workshop on:
Learning for Collaborative Robotics: 
Enabling flexible, redeployable and agile industrial applications
Vancouver, BC, Canada 
Sunday, September 24, 08:30-17:30, Room 217-219.


Dear colleagues,

It is our pleasure to invite you to this workshop about learning for collaborative robots.

We are bringing together participants from academia and industry alike to share scientific advancements and new technologies in the field. Additionally, the workshop will feature posters with spotlight presentations.

For more details and the tentative program please refer to the following link: 

We look forward to seeing you at the workshop!

The organizers


Topics of Interest:
 - 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?



 - Rainer Bischoff (KUKA Roboter GmbH)
 - Abderrahmane Kheddar (CNRS)
 - Keith Blanchet (Kinova Robotics)
 - Guilherme Maeda (TU Darmstadt)
 - Dana KuliĂŚ (University of Waterloo)
 - Tadej Petric (Jozef Stefan Institute, Slovenia)
 - Sylvain Calinon (Idiap Research Institute, Switzerland)
 - Arash Ajoudani (Istituto Italiano di Tecnologia, Italy)

About the Workshop:
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.


 - 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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