Special Issue on Human-Robot Interaction Systems II

2017 ◽  
Vol 21 (4) ◽  
pp. 659-659
Author(s):  
Tomomi Hashimoto ◽  
Yoshihito Kagawa ◽  
Yoshio Nishikawa
Keyword(s):  
Degrees Of Freedom ◽  
Biped Robot ◽  
Human Robot Interaction ◽  
Human Beings ◽  
Special Issue ◽  
Robot Interaction ◽  
High Quality Research ◽  
Staff Members ◽  
Communication Robot ◽  
Episodic Memories

Six years have passed since the publication of our Special Issue on Human-Robot Interaction Systems in 2011. Since then, artificial intelligence and robotics have developed rapidly, and the opportunities for human beings and robots to work together have increased. The objective of this special issue’s twelve articles is to activate and expand high-quality research.In the first article, Y. Tamura, T. Akashi, and H. Osumi propose a computational model of robot’s gaze. In the second article, S. Hoshino and K. Uchida propose an interactive motion planner for robot navigation in dynamic environments. In the third article, T. Iio, Y. Yoshikawa, and H. Ishiguro develop a conversational robotic system based on human response. In the fourth article, K. Sakai, F. Dalla Libera, Y. Yoshikawa, and H. Ishiguro propose a method for generating bystander robots’ actions that is based on an analysis of the relative probabilities of human responses to robot actions. In the fifth article, T. Matsumaru and M. Narita present a newly developed support system for learning calligraphy strokes. In the sixth article, E. Tamura, Y. Yamashita, T. Yamashita, E. Sato-Shimokawara, and T. Yamaguchi present a method of driving a car simply by gesturing. In the seventh article, A. Kurosu and T. Hashimoto develop an eye robot with two degrees of freedom. It is intended for use as a communication robot. In the eighth article, T. Hashimoto, Y. Munakata, R. Yamanaka, and A. Kurosu report on a method for retrieving episodic memories. In the ninth article, Y. Nishikawa, Y. Kagawa, and A. Okazaki develop a spiral movement robot for inpatients. In the tenth article, Y. Umesawa, K. Doi, and H. Fujimoto develop an interface device that creates kinaesthetic illusions by inducing vibrations in muscle tendons, vibrations that coordinate with dual-joint movements. In the eleventh article, R. Horio, N. Uchiyama, and S. Sano propose a human-operated biped robot for transporting objects over rough terrain or up steps. In the closing contribution, T. Sakuraba, N. Uchiyama, S. Sano, and T. Sakaguchi present the design of a spring-based regenerative brake, and they verify its effectiveness by driving a system that uses it.We thank the referees for their comprehensive reviews and the staff members of Fuji Technology Press, Ltd. for their encouragement and advice.

scholarly journals Humanoid Robot: A Review

2021 ◽  
Vol 9 (8) ◽  
pp. 2884-2894
Author(s):  
Dr. S. V. Viraktamath
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Human Life ◽  
Biped Robot ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Human Form ◽  
Robot Interaction ◽  
Humanoid Robotics ◽  
The One

Abstract: Technology is ever evolving regardless of the current conditions. Emerging technologies have capability to change the world. Innovation is everywhere we look. One of the technologies that is emerging is Humanoid Robotics. This paper gives a review about influence of Humanoid Robot in human life also discuss the appearance of various robots. Artists, engineers and scientists have all been inspired by the human body and intellect. Humanoid Robotics is focused with the creation of robots that are inspired directly by human abilities. A humanoid robot is the one with a body that is designed to look like a human. Humanoid Robots imitate characteristics of human form and behaviour selectively. The robot could be used for practical purposes, such as interacting with human equipment and environments or for research purposes, such as investigating biped walking. Keywords: Biped Robot, Degrees of Freedom, Humanoid Robot, Human-Robot Interaction

Special Issue on Human Robot Interaction

2002 ◽  
Vol 14 (5) ◽  
pp. 431-431
Author(s):  
Yasushi Nakauchi
Keyword(s):  
Computer Science ◽  
User Interfaces ◽  
Daily Life ◽  
Living Environment ◽  
Human Robot Interaction ◽  
Human Beings ◽  
Special Issue ◽  
Robot Interaction ◽  
Future Directions ◽  
The Social

Recent advances in robotics are disseminating robots into the social living environment as humanoids, pets, and caregivers. Novel human-robot interaction techniques and interfaces must be developed, however, to ensure that such robots interact as expected in daily life and work. Unlike conventional personal computers, such robots may assume a variety of configurations, such as industrial, wheel-based, ambulatory, remotely operated, autonomous, and wearable. They may also implement different communications modalities, including voice, video, haptics, and gestures. All of these aspects require that research on human-robot interaction become interdisciplinary, combining research from such fields as robotics, ergonomics, computer science and, psychology. In the field of computer science, new directions in human-computer interaction are emerging as post graphical user interfaces (GUIs). These include wearable, ubiquitous, and real-world computing. Such advances are thereby bridging the gap between robotics and computer science. The open-ended problems that potentially face include the following: What is the most desirable type of interaction between human beings and robots? What sort of technology will enable these interactions? How will human beings accept robots in their daily life and work? We are certain that readers of this special issue will be able to find many of the answers and become open to future directions concerning these problems. Any information that readers find herein will be a great pleasure to its editors.

scholarly journals Special Issue in Artificial Intelligence

2019 ◽  
Vol 30 (1) ◽  
pp. 7-8
Author(s):  
Dora Maria Ballesteros
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
Language Processing ◽  
Autonomous Systems ◽  
Big Data Analytics ◽  
Human Robot Interaction ◽  
Support Vector ◽  
Special Issue ◽  
Science And Engineering ◽  
Robot Interaction

Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes it possible for machines to learn from data. Artificial Intelligence applications include prediction, recommendation, classification and recognition, object detection, natural language processing, autonomous systems, among others. The topics of the articles in this special issue include deep learning applied to medicine [1, 3], support vector machine applied to ecosystems [2], human-robot interaction [4], clustering in the identification of anomalous patterns in communication networks [5], expert systems for the simulation of natural disaster scenarios [6], real-time algorithms of artificial intelligence [7] and big data analytics for natural disasters [8].

scholarly journals Human-Robot Interaction with Robust Prediction of Movement Intention Surpasses Manual Control

2020 ◽  
Author(s):  
Sebastijan Veselic ◽  
Claudio Zito ◽  
Dario Farina
Keyword(s):  
Degrees Of Freedom ◽  
Linear Time ◽  
Open Loop ◽  
Human Robot Interaction ◽  
Manual Control ◽  
Reach To Grasp ◽  
Robot Interaction ◽  
Loop Control ◽  
User Awareness ◽  
Improving Accuracy

Designing robotic assistance devices for manipulation tasks is challenging. This work aims at improving accuracy and usability of physical human-robot interaction (pHRI) where a user interacts with a physical robotic device (e.g., a human operated manipulator or exoskeleton) by transmitting signals which need to be interpreted by the machine. Typically these signals are used as an open-loop control, but this approach has several limitations such as low take-up and high cognitive burden for the user. In contrast, a control framework is proposed that can respond robustly and efficiently to intentions of a user by reacting proactively to their commands. The key insight is to include context- and user-awareness in the controller, improving decision making on how to assist the user. Context-awareness is achieved by creating a set of candidate grasp targets and reach-to grasp trajectories in a cluttered scene. User-awareness is implemented as a linear time-variant feedback controller (TV-LQR) over the generated trajectories to facilitate the motion towards the most likely intention of a user. The system also dynamically recovers from incorrect predictions. Experimental results in a virtual environment of two degrees of freedom control show the capability of this approach to outperform manual control. By robustly predicting the user’s intention, the proposed controller allows the subject to achieve superhuman performance in terms of accuracy and thereby usability.

scholarly journals Introduction to the Special Issue on the Mutual Shaping of Human–Robot Interaction

2020 ◽  
Vol 12 (4) ◽  
pp. 843-845
Author(s):  
Somaya Ben Allouch ◽  
Maartje de Graaf ◽  
Selma Šabanović
Keyword(s):  
Human Robot Interaction ◽  
Special Issue ◽  
Robot Interaction

Fake Empathy and Human-Robot Interaction (HRI)

2020 ◽  
pp. 1556-1572
Author(s):  
Jordi Vallverdú ◽  
Toyoaki Nishida ◽  
Yoshisama Ohmoto ◽  
Stuart Moran ◽  
Sarah Lázare
Keyword(s):  
Social Relationships ◽  
Human Robot Interaction ◽  
Basic Emotion ◽  
Human Beings ◽  
Robot Interaction ◽  
Video Recordings ◽  
Main Challenge ◽  
Positive Results ◽  
Different Levels

Empathy is a basic emotion trigger for human beings, especially while regulating social relationships and behaviour. The main challenge of this paper is study whether people's empathic reactions towards robots change depending on previous information given to human about the robot before the interaction. The use of false data about robot skills creates different levels of what we call ‘fake empathy'. This study performs an experiment in WOZ environment in which different subjects (n=17) interacting with the same robot while they believe that the robot is a different robot, up to three versions. Each robot scenario provides a different ‘humanoid' description, and out hypothesis is that the more human-like looks the robot, the more empathically can be the human responses. Results were obtained from questionnaires and multi- angle video recordings. Positive results reinforce the strength of our hypothesis, although we recommend a new and bigger and then more robust experiment.

Introduction to the Special Issue on Dialog with Robots

AI Magazine ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 15-16 ◽  
Author(s):  
Dan Bohus ◽  
Eric Horvitz ◽  
Takayuki Kanda ◽  
Bilge Mutlu ◽  
Antoine Raux
Keyword(s):  
Spoken Language ◽  
Human Robot Interaction ◽  
Virtual Agents ◽  
Special Issue ◽  
Robot Interaction ◽  
Dialog Systems ◽  
Core Concepts

This special issue of AI Magazine on dialog with robots brings together a collection of articles on situated dialog. The contributing authors have been working in interrelated fields of human-robot interaction, dialog systems, virtual agents, and other related areas and address core concepts in spoken dialog with embodied robots or agents. Several of the contributors participated in the AAAI Fall Symposium on Dialog with Robots, held in November 2010, and several articles in this issue are extensions of work presented there. Others include invited contributions. The articles in this collection address diverse aspects of dialog with robots, but are unified in addressing opportunities with spoken language interaction, physical embodiment, and enriched representations of context.

scholarly journals Special Issue on Human–Robot Interaction (HRI)

Robotica ◽  
2020 ◽  
Vol 38 (10) ◽  
pp. 1715-1716
Author(s):  
Nikos Aspragathos ◽  
Vassilis Moulianitis ◽  
Panagiotis Koustoumpardis
Keyword(s):  
Control Systems ◽  
Human Robot Interaction ◽  
Haptic Interfaces ◽  
Special Issue ◽  
Robot Interaction ◽  
Research Fields ◽  
Learning By Observation ◽  
Advanced Control ◽  
Significant Research ◽  
The Given

Human–robot interaction (HRI) is one of the most rapidly growing research fields in robotics and promising for the future of robotics technology. Despite the fact that numerous significant research results in HRI have been presented during the last years, there are still challenges in several critical topics of HRI, which could be summarized as: (i) collision and safety, (ii) virtual guides, (iii) cooperative manipulation, (iv) teleoperation and haptic interfaces, and (v) learning by observation or demonstration. In physical HRI research, the complementarity of the human and the robot capabilities is carefully considered for the advancement of their cooperation in a safe manner. New advanced control systems should be developed so the robot will acquire the ability to adapt easily to the human intentions and to the given task. The possible applications requiring co-manipulation are cooperative transportation of bulky and heavy objects, manufacturing processes such as assembly and surgery.

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