scholarly journals A ROS-integrated API for the KUKA LBR iiwa collaborative robot * *The authors acknowledge support from the EPSRC Centre for Innovative Manufacturing in Intelligent Automation, in undertaking this research work under grant reference number EP/I033467/1, and the University of Sheffield Impact, Innovation and Knowledge Exchange grant "Human Robot Interaction Development". Equipment has been provided under the EPSRC Great Technologies Capital Call: Robotics and Autonomous Systems.

2017 ◽  
Vol 50 (1) ◽  
pp. 15859-15864 ◽  
Author(s):  
Saeid Mokaram ◽  
Jonathan M. Aitken ◽  
Uriel Martinez-Hernandez ◽  
Iveta Eimontaite ◽  
David Cameron ◽  
...  
Keyword(s):  
Knowledge Exchange ◽  
Autonomous Systems ◽  
Research Work ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Reference Number ◽  
The University ◽  
Collaborative Robot

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 Robotics Development Roadmaps

2021 ◽  
Vol 9 (1) ◽  
pp. 5-16
Author(s):  
Alexander Lopota ◽  
Boris Spassky
Keyword(s):  
State Policy ◽  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Unskilled Labor ◽  
Development Programs ◽  
Highly Qualified ◽  
State Support ◽  
Robot Interaction ◽  
Popular Belief ◽  
Job Opportunities

The article discusses government development programs for robotics and autonomous systems in the countries with the highest level of robots’ production and implementation, considers general trends and particularities of national roadmaps. It is shown that such programs create conditions for the development of this industry of key priority, form the basis of state policy, determine measures of state support for domestic robot manufacturers, increasing their international competitiveness, and create conditions for the widespread introduction of robotics. Contrary to popular belief, the development of robotics leads not to reduction, but to creation of job opportunities, simultaneously replacing unskilled labor with creative highly qualified labor of robotics engineers. Many development programs, in addition to workplace automation, set the task of safe and effective human-robot interaction. The article discusses Russian legislative acts in the field of robotics and justifies the necessity to create a domestic roadmap for the robotics development.

scholarly journals Overtrusting robots: Setting a research agenda to mitigate overtrust in automation

2021 ◽  
Vol 12 (1) ◽  
pp. 423-436
Author(s):  
Alexander M. Aroyo ◽  
Jan de Bruyne ◽  
Orian Dheu ◽  
Eduard Fosch-Villaronga ◽  
Aleksei Gudkov ◽  
...  
Keyword(s):  
Research Agenda ◽  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
System Perspective ◽  
Conceptual Clarity ◽  
Key Points ◽  
The Subject ◽  
Common Understanding ◽  
And Robotics

Abstract There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust is highly context-dependent, varies among cultures, and requires reflection on others’ trustworthiness, appraising whether there is enough evidence to conclude that these agents deserve to be trusted. Moreover, little research exists on what happens when too much trust is placed in robots and autonomous systems. Conceptual clarity and a shared framework for approaching overtrust are missing. In this contribution, we offer an overview of pressing topics in the context of overtrust and robots and autonomous systems. Our review mobilizes insights solicited from in-depth conversations from a multidisciplinary workshop on the subject of trust in human–robot interaction (HRI), held at a leading robotics conference in 2020. A broad range of participants brought in their expertise, allowing the formulation of a forward-looking research agenda on overtrust and automation biases in robotics and autonomous systems. Key points include the need for multidisciplinary understandings that are situated in an eco-system perspective, the consideration of adjacent concepts such as deception and anthropomorphization, a connection to ongoing legal discussions through the topic of liability, and a socially embedded understanding of overtrust in education and literacy matters. The article integrates diverse literature and provides a ground for common understanding for overtrust in the context of HRI.

scholarly journals The 2015 AAAI Fall Symposium Series Reports

AI Magazine ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 85-90 ◽  
Author(s):  
Nisar Ahmed ◽  
Paul Bello ◽  
Selmer Bringsjord ◽  
Micah Clark ◽  
Bradley Hayes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Sequential Decision Making ◽  
Sequential Decision ◽  
Robot Interaction ◽  
Self Confidence ◽  
Symposium Series ◽  
Cognitive Assistance

The Association for the Advancement of Artificial Intelligence presented the 2015 Fall Symposium Series, on Thursday through Saturday, November 12-14, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the six symposia were as follows: AI for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Deceptive and Counter-Deceptive Machines, Embedded Machine Learning, Self-Confidence in Autonomous Systems, and Sequential Decision Making for Intelligent Agents. This article contains the reports from four of the symposia.

scholarly journals Reports on the 2016 AAAI Fall Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 38 (2) ◽  
pp. 86-90
Author(s):  
Patrícia Alves-Oliveira ◽  
Richard G. Freedman ◽  
Dan Grollman ◽  
Laura Herlant ◽  
Laura Humphrey ◽  
...  
Keyword(s):  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Grand Challenge ◽  
Washington Dc ◽  
Robot Interaction ◽  
Research And Practice ◽  
Symposium Series ◽  
Cognitive Assistance ◽  
Science Symposium ◽  
Language Technologies

The AAAI 2016 Fall Symposium Series was held Thursday through Saturday, November 17–19, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the six symposia were Accelerating Science: A Grand Challenge for AI; Artificial Intelligence for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Cross-Disciplinary Challenges for Autonomous Systems, Privacy and Language Technologies, Shared Autonomy in Research and Practice. The highlights of each (except Acceleration Science) symposium are presented in this report.

Modeling and classification of human-robot interaction in a collaborative robotic system

2020 ◽  
Vol 20 (3) ◽  
pp. 24-29
Author(s):  
R.R. Galin ◽  
Keyword(s):  
Robotic System ◽  
Human Robot Interaction ◽  
Mutual Distance ◽  
Robot Interaction ◽  
Collaborative Robot

This article discusses the issues of human-robot interaction on the example of collaborative robot. The analysis of the bases of classification of human-robot interaction in a robotic system is carried out. The interaction schemes in the human-obot system are considered, taking into account the multiplicity of agents and the influence of the mutual distance between a human and a collaborative robot.

scholarly journals Towards collaborative drilling with a cobot using admittance controller

2020 ◽  
pp. 014233122093464
Author(s):  
Yusuf Aydin ◽  
Doganay Sirintuna ◽  
Cagatay Basdogan
Keyword(s):  
Augmented Reality ◽  
Task Performance ◽  
Vital Role ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Allowable Range ◽  
The Stability ◽  
Near Future ◽  
Collaborative Robot

In the near future, collaborative robots (cobots) are expected to play a vital role in the manufacturing and automation sectors. It is predicted that workers will work side by side in collaboration with cobots to surpass fully automated factories. In this regard, physical human-robot interaction (pHRI) aims to develop natural communication between the partners to bring speed, flexibility, and ergonomics to the execution of complex manufacturing tasks. One challenge in pHRI is to design an optimal interaction controller to balance the limitations introduced by the contradicting nature of transparency and stability requirements. In this paper, a general methodology to design an admittance controller for a pHRI system is developed by considering the stability and transparency objectives. In our approach, collaborative robot constrains the movement of human operator to help with a pHRI task while an augmented reality (AR) interface informs the operator about its phases. To this end, dynamical characterization of the collaborative robot (LBR IIWA 7 R800, KUKA Inc.) is presented first. Then, the stability and transparency analyses for our pHRI task involving collaborative drilling with this robot are reported. A range of allowable parameters for the admittance controller is determined by superimposing the stability and transparency graphs. Finally, three different sets of parameters are selected from the allowable range and the effect of admittance controllers utilizing these parameter sets on the task performance is investigated.

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