Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.9
3.7
Journals
Robotics
Special Issues
Human Centred Robotics
share announcement

Special Issue "Human Centred Robotics"

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (15 December 2012) | Viewed by 24961

Special Issue Editor

Prof. Dr. Huosheng Hu

E-Mail Website
Guest Editor
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: robotics; embedded systems; mechatronics; advanced manufacturing; multimodal human–machine interfaces; wearable sensors and systems; sensor integration and data fusion algorithms; biomedical signal processing; e-health; medical and surgical robotics; AI applications; intelligent control and learning algorithms; cooperative robots in search and rescue; networked sensors, systems, and robots
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Human Centred Robotics puts humans in the centre of technological developments and represents a vision of the future where various kinds of intelligent robots that will coexist with humans. These intelligent robots serve humans in daily life or in a hazardous environment, including home or personal service robots, entertainment robots, education robots, medical robots, healthcare and rehabilitation robots, search and rescue robots.

This special issue will focus on original papers of innovative ideas and concepts, new discoveries and improvements, as well as novel applications and business models which are related to the field of human-centred robots or intelligent service robotics.

Prof. Dr. Huosheng Hu
Guest Editor

Keywords

  • intelligent mechatronics, robotics and biomimetics
  • biologically-inspired, novel and unconventional robots
  • modelling, identification and control of autonomous robots
  • elements, structures, mechanisms of micro and nano robots
  • sensors and wireless sensor networks for robot navigation
  • biomedical and rehabilitation robots and artificial organs
  • AI, neural networks and fuzzy logic in robot learning and adaptation
  • tele-robotics, human computer interaction, human-robot interaction

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

17 pages, 325 KiB  
Article
Sensor-Based Trajectory Generation for Advanced Driver Assistance System
by
Christopher James Shackleton
,
Rahul Kala
and
Kevin Warwick
Robotics 2013, 2(1), 19-35; https://doi.org/10.3390/robotics2010019 - 11 Mar 2013
Cited by 3 | Viewed by 7186
Abstract
This paper investigates the trajectory generation problem for an advanced driver assistance system that could sense the driving state of the vehicle, so that a collision free trajectory can be generated safely. Specifically, the problem of trajectory generation is solved for the safety [...] Read more.
This paper investigates the trajectory generation problem for an advanced driver assistance system that could sense the driving state of the vehicle, so that a collision free trajectory can be generated safely. Specifically, the problem of trajectory generation is solved for the safety assessment of the driving state and to manipulate the vehicle in order to avoid any possible collisions. The vehicle senses the environment so as to obtain information about other vehicles and static obstacles ahead. Vehicles may share the perception of the environment via an inter-vehicle communication system. The planning algorithm is based on a visibility graph. A lateral repulsive potential is applied to adaptively maintain a trade-off between the trajectory length and vehicle clearance, which is the greatest problem associated with visibility graphs. As opposed to adaptive roadmap approaches, the algorithm exploits the structured nature of the environment for construction of the roadmap. Furthermore, the mostly organized nature of traffic systems is exploited to obtain orientation invariance, which is another limitation of both visibility graphs and adaptive roadmaps. Simulation results show that the algorithm can successfully solve the problem for a variety of commonly found scenarios. Full article
(This article belongs to the Special Issue Human Centred Robotics)
►▼ Show Figures

Figure 1

18 pages, 866 KiB  
Article
Ant Robotic Swarm for Visualizing Invisible Hazardous Substances
by
John Oyekan
and
Huosheng Hu
Robotics 2013, 2(1), 1-18; https://doi.org/10.3390/robotics2010001 - 07 Jan 2013
Cited by 15 | Viewed by 6712
Abstract
Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within [...] Read more.
Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small. Full article
(This article belongs to the Special Issue Human Centred Robotics)
►▼ Show Figures

Figure 1

Review

Jump to: Research

30 pages, 476 KiB  
Review
Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study
by
Lorenza Tiberio
,
Amedeo Cesta
and
Marta Olivetti Belardinelli
Robotics 2013, 2(2), 92-121; https://doi.org/10.3390/robotics2020092 - 10 Jun 2013
Cited by 31 | Viewed by 10023
Abstract
Implementing psychophysiological measures is a worthwhile approach for understanding human reaction to robot presence in terms of individual emotional state. This paper reviews the suitability of using psychophysiological assessment in human-robot interaction (HRI) research. A review of most common psychophysiological parameters used in [...] Read more.
Implementing psychophysiological measures is a worthwhile approach for understanding human reaction to robot presence in terms of individual emotional state. This paper reviews the suitability of using psychophysiological assessment in human-robot interaction (HRI) research. A review of most common psychophysiological parameters used in a controlled laboratory setting is provided and advantages and challenges of their utilization in HRI experiments are described. Exemplar studies focused on the implementation of psychophysiological measures for the evaluation of the emotional responses of the participants to the robots’ presence are described. Based on the reviewed literature, the paper also describes the results of our own research experience to make the most of the emerged recommendations. We planned and performed a study aimed at implementing psychophysiological measurements for assessing the human response of two groups of older adults (Healthy vs. Mild Cognitive Impairment subjects) towards a telepresence robot. Finally, the paper provides a summary of lessons learned across the field in using psychophysiological measures in HRI studies. Full article
(This article belongs to the Special Issue Human Centred Robotics)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop