首页|Investigators from Beijing University of Civil Engineering and Architecture Targ et Robotics (Use of Cross-training In Human-robot Collaborative Rescue)
Investigators from Beijing University of Civil Engineering and Architecture Targ et Robotics (Use of Cross-training In Human-robot Collaborative Rescue)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting out of Beijing, People's Repu blic of China, by NewsRx editors, research stated, "Human-robot collaboration ha s been widely used in postdisaster investigation and rescue. Human-robot team tr aining is a good way to improve the team rescue efficiency and safety; two commo n training methods, namely, procedural training and cross-training, are explored in this study." Financial supporters for this research include National Natural Science Foundati on of China study, National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Beijing Univers ity of Civil Engineering and Architecture, "Currently, relatively few studies ha ve explored the impact of cross-training on humanrobot collaboration in rescue tasks. Cross-training will be novel to most rescuers and as such, an evaluation of cross-training in comparison with more conventional procedural training is wa rranted. This study investigated the effects of these two training methods on re scue performance, situation awareness and workload. Forty-two participants compl eted a path-planning and a photo-taking task in an unfamiliar simulated postdisa ster environment. The rescue performance results showed that cross-training meth od had significant advantages over procedural training for human-robot collabora tive rescue tasks. During the training process, compared with procedural trainin g, participants were more likely to achieve excellent photo-taking performance a fter cross-training; after training, the length of the route planned by the cros s-training group was significantly shorter than that of the procedural-training group. In addition, procedural-training marginal significantly increased the emo tion demand, which proves that cross-training can well control the emotions of t he operators and make them more involved in the rescue task. The study also foun d that arousal level increased significantly after the first cross-training sess ion, and decreased to the same level as procedural training after multiple sessi ons."
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsBeijing University of Civil Engineering and Architecture
NETL
NSTL
