United States

For remote telesurgery, the bandwidth requirement can be reduced by transferring atomic surgical actions (“surgemes&quot;) instead of the low-level kinematic information. However, such a policy requires accurate recognition of these surgemes. Surgeme recognition requires the surgical data for training the classifier. In this paper, we employ transfer learning to reduce the data requirement by transferring knowledge from training task (peg-transfer) to a surgical task (debridement). With different ablations we demonstrate that tranfer learning requires 40% less data than with no-transfer.

IEEE RO-MAN 2021

Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery

surgemes

teleoperation

robotic surgery

classification

transfer learning


IWSSIP is an international conference that brings together researchers and developers from both academia and industry reporting the latest scientific and theoretical advances to discuss and debate major issues and state-of-the-art aspects on systems, signals and image processing.

###### For the session discussion, each author will be seated at individual breakout tables.  Please find which table they will be at here:
###### [QA table assignments in Gather.town](https://drive.google.com/file/d/1hBHOD_KF7NSsaTcpYcHCZslXJvQVxJQe/view?usp=sharing)

IWSSIP 2021

For remote telesurgery, the bandwidth requirement can be reduced by transferring atomic surgical actions (“surgemes") instead of the low-level kinematic information. However, such a policy requires accurate recognition of these surgemes. Surgeme recognition requires the surgical data for training the classifier. In this paper, we employ transfer learning to reduce the data requirement by transferring knowledge from training task (peg-transfer) to a surgical task (debridement). With different ablations we demonstrate that tranfer learning requires 40% less data than with no-transfer.

technical paper

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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Robocentric Conversational Group Discovery

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This paper argues for the possibility of e-friendship, a form of friendship between humans and silicon-based electronic agents, with a focus on sociable robots. Section I introduces the topic. Section II defines "e-friendship." Sections III and IV identify qualities humans and silicon-based systems require for e-friendship. Section V defends the proposal against objections.

Exercising with an “Iron Man”: Design for a Robot Exercise Coach for Persons with Dementia

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Normative roboticists: the visions and values of technical robotics papers

In this study, we examined whether the likelihood of attributing intentionality to robots is influenced by the human-likeness of errors during HRI. To this end, we designed an experimental protocol in which users performed a melody in a joint task with the iCub robot. We programmed the iCub robot to make an error in 60% of the repetitions. Before and after the joint musical task, we administered the InStance Test to evaluate the likelihood of treating the robot as an intentional agent. Results showed that mechanical errors during HRI reduced intentionality attribution toward the robot.

Effects of Erring Behavior in a Human-Robot Joint Musical Task on Adopting Intentional Stance Toward the iCub Robot

A critical issue during HRI is eliciting an intentional stance in the human interactor, who then perceive the agent as an "intelligent" being with full agency towards their own intentions and desires. Eliciting such a stance, however, has proven elusive. We argue for a paradigm shift in our approach to this problem, based on recent evidence from social robotics and digital avatars. To trigger an intentional stance in humans, perhaps our artificial agents need to adopt one about themselves.

What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations

We aim to improve the believability of virtual players by incorporating personalities, moods, and emotions for them. We propose a novel framework for a multi-player VR Volleyball game by integrating various behavioral changes during gameplay. This is achieved by simulating player reactions and rendering changes in the player's body postures, which are dependent on game environment parameters and scenarios. We showcase visual analysis of individual players' mood changes during gameplay to further corroborate the presented VR framework. Incorporating the proposed model, we exhibit the progression and variations in moods for players with different personalities when presented with varied game situations.

Rate My Robot: The effect of Word-of-Mouth (WOM) on perceptions of a social robot’s teaching performance

Within the present research, nine different communication strategies were examined for a service robot. The communication style (humanlike friendly, humanlike professional, machinelike) and modality (auditive male, auditive female, visual) of communication was varied and their influence on system evaluation regarding competence, warmth, discomfort, embodiment and preferences were investigated in an online study. The results of the study indicate that a humanlike communication is rated more competent, warmer, less discomforting, and is generally preferred.

“Oh no, my instructions were wrong!” An Exploratory Pilot Towards Children’s Trust in Social Robots

Respecting personal spaces of other people is something we also expect from robots. But what if robots need to invade our personal space, for example when several people are talking and there is no way for the robot to get around them? In a user study, we investigated the influence of different behaviors of a robot of traversing these people on the perception of the participants.

Do You Mind if I Pass Through? Studying the Appropriate Robot Behavior when Traversing two Conversing People in a Hallway Setting

We tested a new method for presenting natural materials using an electrostatic tactile texture display. In this method, we combined Coulomb friction as physical model for low frequency friction and texture-induced vibration model for high frequency friction. In a condition where only the low-frequency friction force components were rendered, the materials were correctly recognized at 70%. In contrast, when the high-frequency components were superposed, this rate increased to 80%. Therefore, Coulomb friction model plus fine texture improves material discrimination accuracy.

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Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery

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