Algorithm and Implementation of Human Following Co-bot using 2D LiDAR

Abstract

Co-bots - collaborative robots are designed to interact directly with humans in close proximity. Some human-robot collaborative applications like surveillance, clinical services, media outlets, defense, and social associations, may require an autonomous robot to have the ability to distinguish and track a person and to follow him around. Smart suitcases and smart trolleys are practical applications of human detection and following co-bots. Initially seen as a special case of object tracking, the task of person following with autonomous robots before long turned into a challenging task of its own especially when using a short-range sensor like laser range scanner. Therefore, we have proposed and implemented an effective algorithm forintelligent detection, tracking, and following a specified target person. The decision is being made by the control unit based on the information obtained from 2D LIDAR mounted at knee height, hence, enabling the mobile co-bot to follow the target in a dynamic environment without any collision.

Component-Wise Error Correction Method for UWB-Based Localization in Target-Following Mobile Robot

“…Robust and reliable human tracking is a key technology of following robots, and it enables mobile robots to operate in cooperation with humans. Following robots have been successfully applied in several domains, including logistics [ 4 , 5 ], shopping [ 6 , 7 , 8 ], and smart factories [ 9 , 10 , 11 ]; however, they are not technically mature and require further technical development for robust and reliable human tracking.…”

An Innovative Guidotronic Bot with Integrated LiDAR and AI Voice Assistance

“…to be utilized in a variety of applications, one of which is the improvement of human speech in circumstances that are sensitive to context [5]. The capability of a system to monitor the precise location of an individual while this operation is being carried out makes it possible for the system to perform enhanced object recognition, location-based assistance, and contextual data presentation [6].…”