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We proposed the polycentric assistive device for knee joint (PAD-KJ) by using the polycentric mechanism for standing motion support including deep flexion.

IEEE RO-MAN 2021

Design of Polycentric Assistive Device for Knee Joint

passive assist

polycentric mechanism

knee joint

The 65th Annual Conference on Magnetism and Magnetic Materials (MMM 2020) was held in a virtual form. The COVID-19 pandemic, with its associated uncertainty about international travel and the ability to gather in large groups, meant that the Steering Committee decided to cancel the face-to-face meeting that had been planned in Palm Beach, Florida November 2-6, 2020.

We were reluctant to give up the benefits of meeting face-to-face, and know that shifting to a virtual conference is a significant change for this community. Nevertheless, we are first and foremost concerned about the health and safety of all our Conference participants and their loved ones on returning home after travelling.

The MMM 2020 Steering Committee was working exceptionally hard, along with our sponsors, the IEEE Magnetics Society and AIP Publishing, to make this event serve the needs of our participants, who live in time zones all around the globe, in the best possible way. 

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MMM 2020

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RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. This theme also touches upon people's expectations and perceptions of robots, as well as other social, cognitive and cultural factors that will influence human-robot interactions. We will have a special session/track on this topic, invite targeted submissions and include plenary speakers who are specialist in this area. We sincerely hope that this focus will help enlighten the design-thinking of all of us as we fabricate and program our own various systems.

To access RO-MAN Virtual 2021, [please register here.](https://ro-man2021.org/registration/)

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. 

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Investigating Reward/Punishment Strategies in the Persuasiveness of Social Robots

We propose the use of interactive vignettes as an alternative to traditional text- and video-based vignettes for conducting large-scale Human-Robot Interaction (HRI) studies. Interactive vignettes maintain the advantages of traditional vignettes while offering additional affordances for participant interaction and data collection through interactive elements. We discuss the core affordances of interactive vignettes, including explorability, responsiveness, and non-linearity, and look into how these affordances can enable HRI research with more complex scenarios.

Socially Compliant Human-Robot Interaction for Autonomous Scanning Tasks in Supermarket Environments

This paper provides insights into trust repair strategies in HRI by examining trustworthiness and its attributes of ability, benevolence, and integrity. Furthermore, we also consider how anthropomorphism can act as a moderator between trust repairs and their effects on trustworthiness.

Robot Mirroring: Promoting Empathy with an Artificial Agent by Reflecting the User's Physiological Affective States

In this work we present a kinematics model for the humanoid robot Pepper. The model is based on analytical solutions of the inverse kinematics, which provide very accurate and fast results. It is envisioned to be used in a human-humanoid pose matching imitation system as it allows for translation of human joint positions to robot joint angles while maintaining the angle configuration of the body pose.

Analytical Solution of Pepper’s Inverse Kinematics for a Pose Matching Imitation System

We investigate two extensions to our grounded word-learning system to increase transparency. The first extension uses deictic gestures (i.e., pointing) to interact with users. The second extension visualizes the current state of the lexicon on the robot's tablet. We performed a user study (n=32) to evaluate the system. In a quantitative analysis, we did not see a performance increase for the extensions, but found other benefits. In a qualitative analysis, we identified challenges for word-learning systems.

Monocular 3D object detection for an indoor robot environment

Skill imitation has been an important ability in
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teaching of new tasks. To mimic the human
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structures with human-like motion. Nevertheless, these
solutions tend to be formulated for a specific robot or task. To
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framework for imitation constraints, which proposes a general
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An appropriate user interface to collect human demonstration data for deformable object manipulation has been mostly overlooked in the literature. We present an inter-action design for demonstrating cloth folding to robots. Users choose pick and place points on the cloth and can preview a visualization of a simulated cloth before real-robot execution. Two interfaces are proposed: A 2D display-and-mouse based GUI, and a 3D Augmented Reality interface where the chosen points are placed by hand gestures.

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Wearable robots are traditionally used as tools for assisting muscular strength and decrease the physical loads of users. In this study, we are interested in the social aspect of wearable robots and investigate the effects of wearing them toward perceived impressions of them. For this purpose, we newly developed a wearable robot, Fylgear, with minimum capabilities to interact with a user. We experimentally investigated whether wearing a robot changes people’s perception of the robot by using different questionnaire items: a set of positive impressions and kawaii feeling. The experiment results showed that participants who wear the robot positively evaluated the robot in the context of likeability and total impression, but there are no significant differences in perceived kawaii feelings.

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Design of Polycentric Assistive Device for Knee Joint

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Design of Dynamic Tangible Workspaces for Games:Application on Robot-Assisted Upper Limb Rehabilitation

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