Bright and Dark Side of AI in Robotics

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TG relation: AI and Cognition in Robotics (AICoR)

Areas mainly addressed: Healthcare, Agile Production, Robotics and AI/Big Data Value, Ethical, Legal, Social, Economic implications of robotics, Autonomy, Collaborative Robots and cloud robotics, Cybersecurity in Robotics, Regulation and Standardization for Robotics and AI 

Main questions to be answered: 

· What are the most effective/safe AI & Robotics results/technologies having a real impact on the EU market? 

· What are the main barriers for “pushing” new AI & Robotics research results/technologies out of the labs? 

· What are the most relevant fields/areas in which the EC should push/finance new activities to foster the creation of new AI & Robotics synergies and pave the way towards their deployment in real settings? 

WS Description: Robotics is one of the most natural application areas for AI research.Advances in AI&Robotics (AIRO) are fostering key enabling features such as decisional autonomy,learning,interaction ability,dependability and cognitive abilities for robots.Thus it seems essential for AIRO communities to respond to the challenges that these applications pose and contribute to the advance of intelligent robotics.This proposal aims at highlighting the AIRO bright and dark side.The integration of well established results with cutting edge technologies,like,eg,ML with classic model-based solutions,seems ready to be successfully deployed in real world settings.On the other hand,although impressive results have been achieved in separate fields,they are often limited to laboratory conditions.For rolling out innovative and trustworthy AI solutions to the market,further improvements and research are required 

Intended outcome: Workshop on recent developments in technology or applications, Workshop expected to create a roadmap or white paper, Workshop discussion topics of common interest, success stories, use cases, etc 

Approach: Considering a 80min slot, the envisaged approach is the following. 

Several experts, from both research and industry, working in different robotics fields (i.e., service robots, manufacturing, space, health, cybersecurity, etc) will be asked to address the main questions reported above so as to provide the audience with an overview of success and challenges in AIRO. This will aim to highlight “bright and dark sides” of AIRO and then frame strengths and weaknesses of current approaches/solutions. 

Indeed, the proposed questions are to stimulate the speakers to survey the results and provide a “critical” picture of the state of the art in AIRO. Such series of talks will then provide concrete elements to draw the bounds in which research/technologies are effective and what is still missing to improve the reach out. 

The agenda of the event will be structured in three sections: 

– a series of (short) ppt from experts about successful AIRO applications also pointing out limitations, major barriers and missing points for actual deployments 

– A final discussion will start after the ppt and will be aimed at identifying and classifying strengths/weaknesses and identify possible significant areas of intervention to deal with challenges. 

The results of the discussion will be used to produce a post-WS report collecting ideas/issues to address the general questions and possibly elicit insights to be included in the ADRA roadmap. 


The list of speakers is the following: 

– Cecile Huet, Deputy Head AI and Robotics, EU Commission, Belgium 

– Fredrik Heintz, TAILOR project, Linkoeping University, Sweden 

– Thomas Vögele, Space robotics, DFKI, Germany 

– Fabio Martinelli, Cybersecurity, IIT-CNR, Italy 

– Paolo Fiorini, Riccardo Muradore, Health/Surgery robots,Verona University, Italy 

– Nima Enayati, Manufacturing, ABB Corporate Research, Germany 

– Francesco Ferro, Service/logistics robots, Pal Robotics, Spain 

Further information: 


· AndreA Orlandini,, National Research Council of Italy

· Alberto Finzi,, Naples Univesity “Federico II”, Italy 

· MarcoHuber,, IPA Fraunhofer/Stuttgart University, Germany 

· Markus Vincze,, TU Wien, Austria

Event Timeslots (1)

Room K3 – Koncerthuset
14 March - Robotics and AI / Data
Andrea Orlandini