WORKSHOP SCHEDULE

Title: ALTRUIST - sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance

Session ID: Th.1600.WS

Increased life expectancy is an achievement of modern societies thanks to the technological progress in health, living places and quality of food. One of the consequences of an ageing society is the growing incidence of chronic diseases. This trend imposes the need for innovative approaches to assistance, including the ability of self-management, which has become an increasingly important requirement of healthcare in Europe and beyond. Innovative interventions embedded with e-health applications are extremely important to improve the Active and Healthy Ageing of the population. Novel technological solutions should be capable of effectively merging heterogeneous and potentially conflicting requirements coming from different stakeholders bridging the gap between health needs of users and clinical and social requirements. Such a challenging objective can be achieved only through a multidisciplinary approach. This workshop therefore aims at pushing the synergetic contribution of different research areas like, e.g., Artificial Intelligence (AI), Internet-of-Things (IoT), Robotics and Social Science to develop innovative and effective researches and technologies for the aging society and assistance in general.
List of (some) relevant topics: Cognitive Robotics; Socially-Aware and UserAware Interaction; Cultural-Awareness Human-Robot Interaction; Personalized and Adaptive Assistance; Activity Monitoring Systems (indoor and outdoor); Trustworthy Social Robots; Explainable AI with Social Robots; Co-Design and Assistive Solutions; Mixed-Initiative Interaction.
http://altruist21.istc.cnr.it/

Social AI for Human-Robot Interaction of Human-Care Robots

Session ID: Fr.0800.WS

Service robots need to be devised with social intelligence to be effortlessly integrated into our everyday lives. Service robots are intended to improve the quality of life as well as efficiency in human-robot interactive applications. Especially, human-care service robots are desired to be capable of robust and stable interaction with human users.
Our mission with this workshop is to share the ideas and experiences amongst participants with diverse backgrounds ranging from interaction design, social intelligence, decision making, task planning, and social psychology, and to encourage exploring how social AI for human-robot interaction can be applied to service robots for human-care in our daily lives. This workshop focuses on three social aspects of human-robot interaction of human-care service robots: (1) technical implementation of social AI, (2) form, function and behavior of human-care service robots and (3) human behavior and expectations as a means to understand the social aspects of interacting with these robots and products.
https://socialrobot-kros.github.io/workshop_socialhri_icsr2021/

Robots.FM: Symposium on Robotics for Facilities Management!

Session ID: Fr.1400.WS

As buildings ages and with the increase demands from clients for implementation of new technology, there is a need for more manpower to manage buildings. As the industry shifts towards Smart Facilities Management (FM), the demand for skilled and tech savvy engineers has risen. These challenges are further exacerbated by the labour crunch as well as increased sanitizing requirements due to the COVID-19 pandemic. Among the technologies mapped out in the Consortium Operation and Technology Roadmap (COTR) for the FM  industry, robotics & automation is one of the hot topic to look at to improve productivity, reduce workload or reduction in manpower. Application of service robotics for FM helps to relieve the daily workload of the workers, especially manual and laborious tasks that consumes a significant portion of their time, such as cleaning and patrolling. In crowded environments such as shopping malls, robots are required to be multi-faceted and possess social interaction skills while still performing their main job functions.  In this symposium, keynote speakers from industry and academia will share more about the current landscape as well as specific areas within FM where robotics can be implemented to solve the current FM industry challenges. Participants will be invited to share their views and questions during the panel discussion.

ASIMOV Adaptive Social Interaction and MOVement for assistive and rehabilitation robotics

Session ID: Fr.1600.WS

Endowing robots with learning and online behavioral adaptation abilities is a key objective for enabling natural and efficient human robot interaction, especially in the areas of assistive and rehabilitation robotics. Nevertheless, as one of Asimov’s novels pointed out in The Complete Robot (1982), if a robot, such as Lenny, is given the ability to learn, it will inevitably make mistakes before adapting itself. One of the critical issues is thus to design robot learning abilities that lead to a behavior that meets three criteria at the same time: efficiency, acceptability and security for the human. The ASIMOV workshop will constitute a unique opportunity to gather roboticists and computer scientists to present a variety of current approaches aiming at endowing social robots with learning abilities, enhanced cognitive and social abilities, and discuss their potential to meet these criteria. This will permit to analyze the current state of the art and of its possible real-world applications in assistive and rehabilitation robotics.
https://sites.google.com/view/asimov-2021/home

Safe Human-Robot Interaction: Sensing, Modeling, and Learning

Session ID: Sa.0800.WS

Safe human-robot interaction (HRI) has long been a hot topic in social robotics, which not only covers physical human-robot interaction (pHRI) but also non-contact HRI. The workshop gathers robotics researchers from academia and industry to exchange recent development and trend in safe HRI on different stages of interaction: sensing, modeling, and learning. Confirmed speakers are from a variety of backgrounds: communication, CS, EE, ME, Materials Sciences, etc.
https://sites.google.com/view/icsr2021-shri