Mobile Robot Group

The current research direction of the mobile robot group focuses on developing visual and LiDAR simultaneous localization and mapping (SLAM) technology, and applying it to various mobile robot platforms.

Based on preliminary experimental results and hospital disinfection requirements, our laboratory has developed an intelligent disinfection robot system that integrates chlorine dioxide sterilization technology. This system is designed to spray disinfectant aerosol in operating rooms or patient wards. The intelligent disinfection robot system can perform various functions, not limited to remote movement and disinfection. The robot is connected to a disinfectant spraying device and equipped with various sensors to monitor the environment, ensuring the safety of both humans and the robot itself. Finally, through the collaboration of various submodules, the robot achieves semi-automatic remote-controlled disinfection and fully automatic intelligent disinfection functions. Additionally, the robot can recognize user gestures through image recognition and execute disinfection commands.

Figure 1: The disinfection robot.

Figure 2: News reports of the disinfection robot.

Our laboratory utilizes SLAM algorithms to create an environmental map, combined with the voice system from the Industrial Technology Research Institute, transforming the robot into a tour guide robot.

Figure 3: The campus tour robot.

Figure 4: The SLAM map generated by the campus tour robot.

Additionally, to ensure that robots can successfully coexist and share the environment with humans, social robots should have the ability to perceive and understand implicit "social language." In light of this, we have proposed the "Spatial Behavior Cognition Model" (SBCM) to describe social behaviors between humans and humans, as well as between humans and the environment, as shown below.

Figure 5: The Spatial Behavior Cognition Model (SBCM).

For an introduction to this robot, please refer to the Human-Robot Interaction Group page.