ERF 2020: Session "AI and Robotics: the challenge of complex learning and planning"

3rd March 2020 - 16:15 to 17:45


The 3rd of March 2020, the Workshop "AI and Robotics: the challenge of complex learning and planning" will be held within the European Robotics Forum (ERF 2020). The workshop is organized by Andrea Orlandini, Alberto Finzi (Naples University), Marco Huber (IPA Fraunhofer) and Sotiris Makris (LMS Patras University).


** Session Program - Sala 2.1 ABB **
16.15 - 16.30 Cecile Huet "European strategy in AI and Robotics" Deputy Head AI and Robotics, EU Commission.
16.30 - 16.45 Markus Vincze "Robot Intelligence and Industrial Requirements", TU Wien, Austria.
16.45 - 17.00 Rachid Alami "Human-Robot Joint Action, an integrative challenge for AI", LAAS-CNRS, France.
17.00 - 17.15 Francesco Ferro "Real examples of AI in Service Robotics", PAL Robotics, Spain.
17.15 - 17.45 Project Pitch Presentations (10 mins each)
- Werner Kraus "Cognitive robotics", IPA Fraunhofer, Germany,
- Frederic Noel "Sketching how technologies may contribute to digital twin deployment", Grenoble University, France.
- Nestor García "TBD", EURECAT, Spain.

** Motivations and Aims **

Robotics is one of the most appealing and natural application area for the Artificial Intelligence (AI) research community. Advances in AI research in Robotics applications are fostering key enabling technologies such as, for instance, decisional and long term autonomy, learning, adaptability, interaction ability, dependability, and (more in general) cognitive abilities in Robotic platforms. Therefore, it seems essential for AI and Robotics research communities to respond to the challenges that these applications pose and contribute to the advance of intelligent robotics.

This ERF Workshop has been held during the last three years (ERF19, ERF18 and ERF17) and we aim at enlarging the scope considering also new frontiers related to Machine Learning (ML), an uprising branch of artificial intelligence that enables a robot to autonomously learn, e.g., an optimal task execution through trial-and-error interaction with its environment or learning by the human demonstration. The union of ML with classic model-based solutions such as, e.g., automated planning and execution, seems now ready to be integrated. Although impressive results have already been achieved in separate fields, they are so far often limited to laboratory conditions. For rolling out innovative, effective and safe solutions for learning and planning in robot control to industrial applications, further improvements and research is required. This workshop aims at identifiying major limitations of frontiers in the state-of-the-art. Furthermore, the participants of the workshop will elaborate on ideas for overcoming these limitations.

As a more concrete goal, this proposal aims to provide an opportunity for researchers, innovators and industries communities to discuss about current results in EU funded projects, common interests and efforts, figure out shared challenges and discuss expectations about future developments in AI and Robotics. In this perspective, the aim of this ERF workshop is to facilitate interactions between researchers and practitioners in AI and Robotics, pushing recent technological advancements out of the laboratories for deploying a new generation of Intelligent Robots endowed with flexible, adaptive and goal-oriented behaviors, long-term autonomy, advanced interaction with humans in structured collaborative activities. Such synergies are also to foster the creation of new collaborations.


More info here