矿用探测机器人虚拟控制系统研究

Research on Virtual Control System of Mine Detecting Robot

针对当前煤矿井下事故频发,井下救援难度增大等问题,提出了一种虚拟控制系统,通过遥控虚拟机器人在井下进行环境信息采集以及障碍物信息提取,实现机器人的局部与全局导航定位,根据这些信息实现对机器人的人为决策以及干预。研究成果可使井下机器人的作业可控、可预知,且移植性较强,提高了救援机器人的作业效率。

Aiming at the frequent occurrence of underground coal mine accidents and the increasing difficulty of underground rescue,a virtual control system is proposed.The system uses remote-controlled virtual robots to collect the environmental information and extract obstacle information in the underground of coal mine to realize the robot,s global and local positioning.The human decision-making and intervention of the robot are realized based on this information.The research results can make the operation of the underground robot controllable and predictable,and have strong portability,which greatly improves the operating efficiency of the rescue robot.