2D and 3D virtual environment for human robot interaction: from virtual perception to real localization
The ability for tele-operators to derive remote robots location is crucial: it allows them to develop strategies to perform high level interactions and mainly navigation. In normal conditions, remote robots can perform autonomously such a task by comparing an priori knowledge and local sensed data. For some typical situations, this approach is impossible. Indeed, when remote environments are changing or when inherent sensors uncertainty and errors are too high for correct localization, the robots are unable to derive locations and contexts. Following that, the intervention of tele-operators is needed to compensate automatic localization failures and misestimations: they use a map and available remote sensed data to estimate robots position and orientation. The quality of this intervention is intimately linked to four factors: the pertinence of the remote data, the way these data are displayed to operators, the nature of the map the operators use and their ability to derive robots position. This paper describes our investigations in quantifying the last two factors and their effects localization accuracy. We present preliminary results concerning a comparison between two localization methods. A tele-operator is wearing a helmet displaying a video stream coming from the robot. He or she can move the head freely to move the remote camera allowing him/her to discover the remote environment. Using a 2D map (a top view) or an interactive (the user can move within the virtual representation) 3D partial model of the remote world, the teleoperator has to specify the exact position/orientation of the robot.
Ryad Chellali Khelifa baizid Zhao Li Nicolas Mollet
HMRI Lab-TERA Dept Italian Institute of Technology Via Morego 30 Genova (16163) Italy HMRI Lab-TERA Dept Italian Institute of Technology and University of Genova Via Morego 30 Genova (16 Team leader,HMRI Lab-TERA Dept Italian Institute of Technology Via Morego 30 Genova (16163) Italy
国际会议
2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
桂林
英文
694-699
2009-12-19（万方平台首次上网日期，不代表论文的发表时间）