3rd International Workshop on Robotics Technology Transfer: Innovation from Academia to Industry (RTT2018)
Organizers of the half-day workshop:|
Aims and Objectives:
The main current research programs have, as specific challenge, the promotion of multi‐disciplinary R&D and innovation activities like technology transfer via use‐cases and industry‐academia cross fertilization mechanisms. The aim is to gear up and accelerate cross‐fertilization between academic and industrial robotics research to strengthen synergies between their respective research agendas through joint industrially‐relevant scenarios, shared research infrastructures and joint small‐ to medium‐scale experiments with industrial platforms.
Aim of this Workshop is to bring the current state‐of‐the‐art of robotics technology transfer into focus through successful examples of conversion of scientific findings from research laboratories into useful products, processes and services. Relevance is given to the innovative content of the developed applications and to their technology and commercial impact, as well as to their contribution to the spread of robot systems and to successful solutions for stable industry‐academia collaboration. This collaboration can be also spread to research institutes, universities, industry organizations and stakeholders, technology transfer offices and governments as well.
As in its previous editions, the Workshop will be focusing on (but not limited to) the following topics:
- Examples of conversion of scientific findings from research laboratories into useful products, processes and services
- Contributions to the spread of robot systems into various application fields
- Successful solutions and exemplar practices for a stable industry‐academia collaboration
- Innovative research applications developed through industry‐academia collaboration
- Relevant project outcomes that result in an industrializing prototype with a high TRL
- Innovative actions to help robotics research to be introduced in industry with high impact
- Insights into challenges and into good as well as bad practices in increasing technology readiness levels in robotics
Workshops based on invited presentations
Assisting human operators in the industry 4.0: challenges and perspectivesOrganizers of the full-day workshop:
- Loris Roveda, ITIA-CNR, Italy, firstname.lastname@example.org
- Nicola Pedrocchi, ITIA-CNR, Italy, email@example.com
- Lorenzo Molinari Tosatti, ITIA-CNR, Italy, firstname.lastname@example.org
Aims and Objectives:
The fourth industrial revolution is expected to deeply change the future manufacturing and production processes, leading to Smart Factories that will beneﬁt from the design principles of Industry 4.0 (e.g., interoperability, virtualization, decentralization, modularity). Robotics and artificial intelligence play a key role in this development, since the capabilities of the robotic systems (e.g., sensing, mapping, localization, navigation, motion control technologies) are reaching a sufﬁcient maturity level, deﬁning a new class of smart robots allowing higher levels of dexterity and ﬂexibility, the ability to learn tasks without formal programming and to autonomously collaborate with other autonomous devices and human operators, thus reaching also non-manufacturing industries and ﬁelds. Reaching a human-centric production is the goal, having human operators managing processes by a proper sensorization of the working environment, while being assisted by empowering robotic devices when a direct contribution (i.e., for the human operator expertise) is required in heavy/onerous tasks execution. The aim of the proposed workshop is to analyze the available technologies and algorithms to enhance the fourth industrial revolution, together with understand which are the main challenges, trends and perspectives of robotics and artificial intelligence in such a field. Talks from both academia and industry will allow to figure out the main issues/potentialities, setting up the future investigated topics.
Applications of discrete event systemsOrganizers of the half-day workshop:
- Cristian Mahulea, University of Zaragoza, Spain, email@example.com
- Carla Seatzu, University of Cagliari, Italy, firstname.lastname@example.org
Aims and Objectives:
Discrete event systems (DES) are a particular class of dynamic systems whose main feature is that their evolution is governed by the occurrence of asynchronous events. This class of systems attracted recently the attention of many researchers since many phenomena in man-made systems cannot be described using the classical models of time-driven processes, e.g., differential or difference equations. Several are the application domains in this field and the workshop includes presentations related to four applications: logistics and transportation systems, energy planning and optimization of manufacturing systems, optimal scheduling and real-time control in home care, and path planning and motion control of mobile robots.