Hobbit, a care robot supporting independent living at home: First prototype and lessons learned

https://doi.org/10.1016/j.robot.2014.09.029Get rights and content

Highlights

  • We present a care robot for aging in place by means of fall prevention/detection.

  • Detailed description of sensor set-up, hardware, and the multimodal user interface.

  • Detailed description of major software components and implemented robot tasks.

  • Proof-of-concept user study (49 user) on usability, acceptance, and affordability.

Abstract

One option to address the challenge of demographic transition is to build robots that enable aging in place. Falling has been identified as the most relevant factor to cause a move to a care facility. The Hobbit project combines research from robotics, gerontology, and human–robot interaction to develop a care robot which is capable of fall prevention and detection as well as emergency detection and handling. Moreover, to enable daily interaction with the robot, other functions are added, such as bringing objects, offering reminders, and entertainment. The interaction with the user is based on a multimodal user interface including automatic speech recognition, text-to-speech, gesture recognition, and a graphical touch-based user interface. We performed controlled laboratory user studies with a total of 49 participants (aged 70 plus) in three EU countries (Austria, Greece, and Sweden). The collected user responses on perceived usability, acceptance, and affordability of the robot demonstrate a positive reception of the robot from its target user group. This article describes the principles and system components for navigation and manipulation in domestic environments, the interaction paradigm and its implementation in a multimodal user interface, the core robot tasks, as well as the results from the user studies, which are also reflected in terms of lessons we learned and we believe are useful to fellow researchers.

Introduction

Because of the fact that older adults prefer to independently live on their own at home as long as possible  [1], the necessity of developing assistive technology is increasing. However, older adults themselves experience challenges in maintaining their home  [2] and the need of assistive technology can be perceived as stigmatization  [3].

Care robots are considered as one option to support independent aging in place. In recent years the development of this type of robot assistance quickly increased. Several research projects were focusing on the development of care robots for older adults, which can reduce loneliness, support in household tasks, and connect users to the outside world (e.g. KSERA  [4], DOMEO  [5], Cogniron  [6], Companionable  [7], SRS  [8], Care-O-Bot  [9], Accompany  [10], HERB  [11]). A large number of studies on the impact of care robots on older adults (a thorough overview can be found in  [12]) demonstrate their positive effects and it also seems that the elderly in the Western society are open for this kind of technology.

However, most of the developed robotic platforms are still research platforms, which did not enter private households as robotic products so far. Only pet-like social companion robots with limited (but essential) care functionality, such as the seal-like robot Paro  [13], are available in the market for end users. To our conviction, one of the biggest challenges is still the development of a multifunctional care robot for independent living, which is affordable for end users.

Therefore our aim is to develop an affordable multifunctional care robot that sustainably enables independent aging in place. According to gerontological studies, falls are the leading cause of injuries among elders. EU-wide 30% of people over 65 and 50% of those over 80 years fall each year and falls are the main reason for moving to a care facility. Subsequently, our main goal is to develop a care robot which prevents falls by picking up objects from the floor, detecting falls by patrolling through the apartment, and handling emergencies by calling relatives or in last instance the ambulance.

Many questions about how a care robot can be developed that offers high usability and user acceptance, but is affordable for its intended target group are still unanswered. What is the right compromise between user expectations and system capabilities? How can existing hardware and software be used to develop a robotic product and not another research platform? Which interaction paradigms are really beneficial for older adults? To address these challenges, we designed and developed the Hobbit robot.

In this article we present results from the development of the first Hobbit robot prototype (subsequently called PT1, see Fig. 1) and the first set of user trials in a controlled laboratory setting in order to explore the reception of Hobbit from its target user group. Section  3 describes the overall system, including the mobile platform, the sensor system, the arm and gripper, and the multimodal user interface. The components are described in Section  4 expanding on navigation, human detection and tracking, gesture recognition, grasping, and object learning and recognition. Next, the robot tasks are presented in detail in Section  5 followed by a description of the user study and its results on perceived usability, acceptance, and affordability from the perspective of potential end users. Throughout the article lessons learned from the PT1 development are presented for all sub domains. Thereby we want to share our experiences with fellow researchers and make our knowledge available in the research community as a stepping stone towards affordable robotic products for private users.

Section snippets

Motivation and contribution

State-of-the-art robots which should increase the quality of life for older adults can be divided into three main categories: (1) social companion robots, (2) household service robots, and (3) telepresence systems. Social companion robots for elderly should decrease the feeling of loneliness and are often designed in a way to substitute real pets. The most prominent example is Paro. Paro  [13] is a seal type mental commitment robot. It has been developed for those who cannot take care of real

Platform

The lower part of the Hobbit system is a mobile platform (see Fig. 2) with differential drive kinematics. It has a circular cross-section with a diameter of about 45 cm. This combination allows the robot to turn on the spot within its footprint, which is important when navigating in narrow and cluttered domestic environments. The platform houses the batteries (24 V, 18 Ah) that power all electrical components of the robot and currently allow for an average autonomy time of three hours. An

Components

In order to fulfill its tasks as a care robot, Hobbit must be able to safely navigate in a domestic environment, detect and track humans, recognize gestures, and grasp objects. In this section we describe the major software components of Hobbit and the algorithms used to achieve the required functionality.

Robot tasks

In the development of the Hobbit robot we followed a user-centered design approach, meaning that the system design should be adapted to the needs and expectations of the potential user group. Contrary to participatory design, where design decisions are made together with representative target users, we followed an interdisciplinary approach where final system design decisions were made together with experts from robotics, gerontology, and industrial design. As primary target user group of

First user studies

First empirical user studies in a controlled laboratory setting with the Hobbit PT1 were carried out in Austria, Greece, and Sweden with a total of 49 primary participants. The studies were based on six representative interaction scenarios that should demonstrate the core tasks. The aim of the study was threefold: (1) exploring the Mutual Care interaction paradigm with two experimental conditions (see  [47]), (2) exploring the impact of different impairment grades on the usability of Hobbit

Conclusions and outlook

In this article we presented results from the development of the first Hobbit robot prototype (PT1) and the first set of user trials in a controlled laboratory setting focusing on the development of a socially assistive care robot for older adults, which has the potential to promote aging in place and to postpone the need to move to a care facility. Hobbit is designed especially for fall detection and prevention (e.g. by picking up objects from the floor, patrolling through the apartment and by

Acknowledgments

The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 288146, Hobbit and from the Austrian Science Fund (FWF) under grant agreement T623-N23, V4HRC.

David Fischinger is a researcher and Ph.D. candidate at the Vienna University of Technology at the “Automation and Control Institute” since 2010. His main research interests are robotic grasping, machine learning and vision for robotics. He graduated in Technical Mathematics at the Vienna University of Technology in 2005. In 2007, he achieved Master’s degrees in “Computer Science Management” and in “Computational Intelligence” (Informatics)—both with honors. From 2007 to 2010 he worked as

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    David Fischinger is a researcher and Ph.D. candidate at the Vienna University of Technology at the “Automation and Control Institute” since 2010. His main research interests are robotic grasping, machine learning and vision for robotics. He graduated in Technical Mathematics at the Vienna University of Technology in 2005. In 2007, he achieved Master’s degrees in “Computer Science Management” and in “Computational Intelligence” (Informatics)—both with honors. From 2007 to 2010 he worked as Senior Programmer at the management and consulting company Accenture in Munich, Vienna and Hyderabad (India).

    Peter Einramhof studied Electrical Engineering with a focus on computer technology at Vienna University of Technology, where he graduated with distinction. In 2003 he joined the vision for robotics group (V4R) of the university’s Automation and Control Institute. For ten years he was working as research assistant in robotics-related EC-funded projects. The scope of his research includes real-time processing of data from stereo and depth cameras for self-localization and safe navigation of service robots, and visual attention algorithms. In July 2013 he joined the Institute for Applied Systems Technology in Bremen.

    Konstantinos Papoutsakis is a Ph.D. candidate at University of Crete, Greece and a Research Assistant at the Institute of Computer Science, FORTH. He graduated with a Bachelor’s Degree in Computer Engineering and Informatics from University of Patras and received a Master’s degree in Computer Science from University of Crete. His main research interests are computer vision, robotics and machine learning with emphasis on visual object tracking, human motion analysis, activity recognition and human–robot interaction.

    Walter Wohlkinger is the Co-Founder and CEO of Blue Danube Robotics. During his masters in Computer Graphics at the Vienna University of Technology, and also after graduating with a Ph.D. in Electrical Engineering, he worked on robot vision and grasping, especially in the context of personal assistive robots. In 2013, he founded Blue Danube Robotics together with Michael Zillich, to realize a new class of affordable robots truly designed around personal use at home, helping people with disabilities to maintain their independence.

    Peter Mayer graduated in 1985 from the Vienna University of Technology with a diploma degree in Electrical Engineering. During his studies he gained practical experience in Quality Assurance at Schrack and in the programming of control and tomographic measurement of electron beams for welding at the Institute of Industrial Electronics of the Vienna University of Technology. Since then he worked in the area of rehabilitation engineering as a research assistant at the Vienna University of Technology in many national and EU-funded R&D projects. He specialized on assistive devices for the disabled and old. During the last years the focus of his work shifted to assistive robotics and smart environments (AAL). His special interest is on speech input and output technology, embedded systems, modern communication services, smart sensors, mainstreaming education.

    Paul Panek was born in 1966 and studied Communication Engineering at the Vienna University of Technology. Since 1993 he is a member of the Fortec group working in the field of Rehabilitation Technology. His main areas of interest are man machine interfaces for multiple impaired persons, alternative and augmentative communication (AAC), environmental control systems (ECS) and Ambient Assisted Living (AAL). In 1997/1998 he did an industrial R&D project at the Carinthian Tech Research. Since 2006 he also works at Ceit Raltec institute in AAL Living Lab Schwechat.

    Stefan Hofmann made his Master in “System Design” (with focus on “Control System”) at the advanced technical college in Villach/Austria with honors. He is now working for Hella Automation in the field of control theory for robotic arms.

    Tobias Koertner was born on 25.09.1980 in Bielefeld, Germany. He graduated in Psychology and Anglistics at the University of Vienna. He is a trained clinical and health psychologist and is working in science projects with the “Academy for Aging Research” since 2011.

    Astrid Weiss is a postdoctoral research fellow in HRI at the Vision4Robotics group at the Institute of Automation and Control (ACIN) at Vienna University of Technology (Austria). She holds a Master’s degree in Sociology and a Ph.D. in Social Sciences from the University of Salzburg, Austria. During her studies she specialized on methodologies of empirical social research and applied statistics. Her current research focuses on user-centered design and evaluation studies for Human–Computer Interaction and Human–Robot Interaction. She is especially interested in the impact technology has on our everyday life and what makes people accept or reject technology. Before her position in Vienna she was a postdoc researcher at the HCI&Usability Unit, of the ICT&S Center, University of Salzburg, Austria and at the Christian Doppler Laboratory on “Contextual Interfaces” at University of Salzburg.

    Antonis Argyros is a Professor of Computer Science at the Computer Science Department, University of Crete (CSD-UoC) and a Researcher at the Institute of Computer Science—FORTH, in Heraklion, Crete, Greece. He received B.Sc. (1989) and M.Sc. degrees (1992) in Computer Science, both from the CSD-UoC. On July 1996, he completed his Ph.D. in Visual Motion Analysis at the same Department. He has been a postdoctoral fellow at the Computational Vision and Active Perception Laboratory, KTH, Sweden. He is an area editor for the Computer Vision and Image Understanding (CVIU) Journal, member of the Editorial Board of the IET Image Processing Journal and a General Chair of ECCV’2010. He is also a member of the Executive Committee of the European Consortium for Informatics and Mathematics (ERCIM). His research interests fall in the areas of computer vision with emphasis on tracking, human gesture and posture recognition, 3D reconstruction and omnidirectional vision. He is also interested in applications of computational vision in the fields of robotics and smart environments. In these areas he has (co-)authored more than 100 papers in scientific journals and conference proceedings.

    Markus Vincze received his diploma in Mechanical Engineering from Technical University Wien (TUW) in 1988 and a M.Sc. from Rensselaer Polytechnic Institute, USA, 1990. He finished his Ph.D. at TUW in 1993. With a grant from the Austrian Academy of Sciences he worked at HelpMate Robotics Inc. and at the Vision Laboratory of Gregory Hager at Yale University. In 2004, he obtained his habilitation in robotics. Presently he leads a group of researchers in the “Vision for Robotics” laboratory at TUW. With Gregory Hager he edited a book on Robust Vision for IEEE and is (co-)author of over 250 papers. His special interests are computer vision techniques for robotics solutions situated in real-world environments and especially homes.

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