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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ranasinghe, A. Penders, J. Dasgupta, P. Althoefer, K. Nanayakkara, T. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Inf., King's Coll. London, London, UK (Ranasinghe, A.; Althoefer, K.; Nanayakkara, T.) || Sheffield Centre for Robot., Sheffield Hallam Univ., Sheffield, UK (Penders, J.) || MRC Centre for Transplantation, King's Coll. London, London, UK (Dasgupta, P.) |
| Abstract | In the case of human intervention in disaster response operations like indoor firefighting, where the environment perception is limited due to thick smoke, noise in the oxygen masks and clutter, not only limit the environmental perception of the human responders, but also causes distress. An intelligent agent (man/machine) with full environment perceptual capabilities is an alternative to enhance navigation in such unfavorable environments. Since haptic communication is the least affected mode of communication in such cases, we consider human demonstrations to use a hard rein to guide blindfolded followers with auditory distraction to be a good paradigm to extract salient features of guiding using hard reins. Based on numerical simulations and experimental systems identification based on demonstrations from eight pairs of human subjects, we show that, the relationship between the orientation difference between the follower and the guider, and the lateral swing patterns of the hard rein by the guider can be explained by a novel $3^{rd}$ order auto regressive predictive controller. Moreover, by modeling the two party voluntary movement dynamics using a virtual damped inertial model, we were able to model the mutual trust between two parties. In the future, the novel controller extracted based on human demonstrations can be tested on a human-robot interaction scenario to guide a visually impaired person in various applications like fire fighting, search and rescue, medical surgery, etc. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 116 |
| Ending Page | 122 |
| File Size | 7702580 |
| Page Count | 7 |
| File Format | |
| ISSN | 21530858 |
| DOI | 10.1109/IROS.2013.6696341 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robots Mathematical model Polynomials Force Haptic interfaces Fires |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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