Robots Showing Emotions

Angel-Fernandez, Julian M.; Bonarini, Andrea

doi:10.1075/is.17.3.06ang

Cited by 11 publications

(8 citation statements)

References 26 publications

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“…In other cases, they have been used both to select dimensions of investigation (e.g. (Angel Fernandez, 2016;Barakova and Lourens, 2010)) and to design movements (e.g. (Knight and Simmons, 2014;Barakova and Lourens, 2010)).…”

Section: Emotion In Entertainment Artsmentioning

confidence: 99%

“…KeepOn (Kozima, Michalowski, and Nakagawa, 2009) and Tofu (Wistort, 2010)) just for emotion expression. It turns out that the possibility to express bending, turning, and openness is extremely relevant to produce recognizable emotion expressions (e.g., (Angel and Bonarini, 2014;Angel Fernandez, 2016)).…”

Section: Emotion In Entertainment Artsmentioning

confidence: 99%

“…Stage -see Figure 3) is an holonomic robot, 40 cm wide and 60 cm high, able to run at up to 1.2 m/sec. Six case studies were performed (Angel Fernandez, 2016), while developing the modelling process that is now formalized in the proposed framework. The robot had to express the emotion along a straight path about 3 meters long.…”

Section: Marios (Mobile Autonomous Robot Interpreting Onmentioning

confidence: 99%

“…For BodyRotation (the maximum body rotation) the values were: 'None' (0 rad), 'Small' (0.1 rad), 'Medium' (0.3 rad), 'Large' (0.5 rad), and 'Huge' (0.7 rad). The emotions were implemented by considering these values: One emotional movement was showed to each subject, who was asked to select an emotion term in a list (Angel Fernandez, 2016). Only few emotions were recognized with a sufficiently high rate (Anger and Happiness).…”

Section: Marios (Mobile Autonomous Robot Interpreting Onmentioning

confidence: 99%

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Can my robotic home cleaner be happy? Issues about emotional expression in non-bio-inspired robots

Bonarini

2016

Adaptive Behavior

Self Cite

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In many robotic applications a robot body should have a functional shape that cannot include bio-inspired elements, but it would still be important that the robot can express emotions, moods, or a character, to make it acceptable, and to involve its users. Dynamic signals from movement can be exploited to provide this expression, while the robot is acting to perform its task. A research effort has been started to find general emotion expression models for actions that could be applied to any kind of robot to obtain believable and easily detectable emotional expressions. On his path, the need for a unified representation of emotional expression emerged. A framework to define action characteristics that could be used to represent emotions is proposed in this paper. Guidelines are provided to identify quantitative models and numerical values for parameters, which can be used to design and engineer emotional robot actions. A set of robots having different shapes, movement possibilities, and goals have been implemented following these guidelines. Thanks to the proposed framework, different models to implement emotional expression could now be compared in a sound way. The question mentioned in the title can now be answered in a justified way.

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Section: Emotion In Entertainment Artsmentioning

confidence: 99%

Section: Emotion In Entertainment Artsmentioning

confidence: 99%

Section: Marios (Mobile Autonomous Robot Interpreting Onmentioning

confidence: 99%

Section: Marios (Mobile Autonomous Robot Interpreting Onmentioning

confidence: 99%

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Can my robotic home cleaner be happy? Issues about emotional expression in non-bio-inspired robots

Bonarini

2016

Adaptive Behavior

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“…and even fewer when they have no face [6], [7]. Furthermore, studies that use arm-robots to express emotions are still very rare.…”

mentioning

confidence: 99%

Adaptive Fuzzy and Predictive Controllers for Expressive Robot Arm Movement during Human and Environment Interaction

Rincon¹,

Coronado²,

Hendra³

et al. 2019

ijmerr

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To create robots able to generate expressive motions and improve human robot interaction (HRI). An innovative adaptive control system architecture for a robot arm is developed which can adapt the control parameters and motion trajectories according to the perception generated by the human, the environment, and the overall robot interaction. An adaptive fuzzy controller that maps environmental and HRI factors to the PAD emotional model (Pleasure, Arousal, and Dominance) is proposed. These PAD values are used to change the robot strategy to generate trajectories and control parameters, which are designed to express different emotional states. The robot motions are commanded by the Robust Generalized Predictive Controllers (RGPC), using optimization by Youla parameters, that involves robot regulation with adaptive motion. The optimization control uses an adaptive receding horizon designed according to the response of the human and environment interaction. This proposal allows to generate motions with more personalized characteristics for human robot interaction in a non-humanoid robots.  Index Terms-robot arm, adaptive fuzzy control, adaptive robust predictive control, affective robotics I. INTRODUCTION Robots with the ability to cooperate with people and interact in social contexts are now being used in diverse scenarios. To enable long-term interactions, these robots must be able to convey a sense of believability, diversity and adaptation to environmental conditions [1]. It is often said that a key factor in creating intelligent social agents is the ability to express different affective states [2]. However, even when a large portion of human-human affective communication is expressed with gestures and postures [3], most studies related to emotional expression in robotics focused in artificially reproduced human-like facial expressions. Two notable examples are [4] and [5]. Moreover, many robots available on the market cannot perform facial expression due to the mechanical or technological limitations. Examples of these types of robots are mobile robots, manipulator robots, and quadropters, among others. Literature in affective computing reports very few works addressing the challenges that imply the use of non-zoomorphic robots,

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Human-robot collaboration for surface treatment tasks

Gracia

Solanes

Muñoz-Benavent

et al. 2019

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This paper presents a human-robot closely collaborative solution to cooperatively perform surface treatment tasks such as polishing, grinding, finishing, deburring, etc. The proposed scheme is based on task priority and non-conventional sliding mode control. Furthermore, the proposal includes two force sensors attached to the manipulator end-effector and tool: one sensor is used to properly accomplish the surface treatment task, while the second one is used by the operator to guide the robot tool. The applicability and feasibility of the proposed collaborative solution for robotic surface treatment are substantiated by experimental results using a redundant 7R manipulator: the Sawyer collaborative robot.

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Robots Showing Emotions

Cited by 11 publications

References 26 publications

Can my robotic home cleaner be happy? Issues about emotional expression in non-bio-inspired robots

Can my robotic home cleaner be happy? Issues about emotional expression in non-bio-inspired robots

Adaptive Fuzzy and Predictive Controllers for Expressive Robot Arm Movement during Human and Environment Interaction

Human-robot collaboration for surface treatment tasks

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