ICAR 2021 Workshop:

Adaptive and reconfigurable robotics for smart manufacturing 

Date: December 7th 2021                                        Duration: full day workshop


Miha Deniša
Jožef Stefan Institute, Ljubljana, Slovenia

Timotej Gašpar
Airnamics, Ljubljana, Slovenia 

Aleš Ude
Jožef Stefan Institute, Ljubljana, Slovenia

Industries dealing with high-volume manufacturing have benefited significantly from robotics and automation innovations since their inception, whereas production processes involving smaller lot sizes, by comparison, have struggled to achieve technological parity. This imbalance can be attributed to the financial costs associated with robotic production lines, the expertise required for their operation and maintenance, and the time needed for slow adaptations and production changeovers. In this workshop, we aim to assess the current state-of-the-art in adaptive and reconfigurable robotics for smart manufacturing, both in terms of technologies that are already deployed and operational in industry and those under active research development that may not have yet permeated to factory floors. 

Invited speakers will be representative of the dichotomy between industry and research in the area of adaptive and reconfigurable robotics. They will hail from a diverse array of industrial and research backgrounds.


To be announced

Topics of interest 

Topics under consideration at the workshop include, but are not limited to: 

      • Rapidly Reconfigurable Industrial Robots 
      • Machine Learning for Robotics 
      • Agile and Adaptable Robotic Workcells 
      • Smart Manufacturing, Factories of the Future and Industry 4.0 
      • Robotics for Fast, Flexible, Few-of-a-Kind Production Changeovers 
      • Cooperative and Compliant Industrial Robots 
      • Self-Adaptation and Autonomous Reconfiguration 
      • Programming by Demonstration 
      • Force-Based Control and Adaptation 
      • Human and Robot Safety 
      • Visual Programming Interfaces 
      • Online Production Monitoring 
      • Anomaly Detection and Recovery 
      • Software Architectures for Robot-Supported Manufacturing