TY - GEN
T1 - An Intelligent Household Robot with Autonomous Navigation and Objects Classification
AU - Xu, Bingjie
AU - Lu, Yangzesheng
AU - Wang, Jingxiang
AU - Bu, Qinglei
AU - Zhang, Quan
AU - Sun, Jie
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - With the continuous advancement of technology, the development of robots is expected to meet the demands for personalization, intelligence, affordability, and reliability. Among different types of robots, intelligent robots have become an indispensable part of daily life. To expand the functionality and improve accessibility, this paper proposed an intelligent robot for households to serve as a family organizer, companion, and supervisor. This robot’s automation characteristics enable it to independently realize functions such as storage management, early-stage warning systems, and interactive entertainment. A flexible gripper is designed to reduce potential danger in the grasping process. Based on the Lidar, odometer, and depth camera, this robot can achieve autonomous navigation, object recognition, and classification through Cartographer and YOLO algorithms.
AB - With the continuous advancement of technology, the development of robots is expected to meet the demands for personalization, intelligence, affordability, and reliability. Among different types of robots, intelligent robots have become an indispensable part of daily life. To expand the functionality and improve accessibility, this paper proposed an intelligent robot for households to serve as a family organizer, companion, and supervisor. This robot’s automation characteristics enable it to independently realize functions such as storage management, early-stage warning systems, and interactive entertainment. A flexible gripper is designed to reduce potential danger in the grasping process. Based on the Lidar, odometer, and depth camera, this robot can achieve autonomous navigation, object recognition, and classification through Cartographer and YOLO algorithms.
KW - Depth camera
KW - Object detection
KW - ROS2
UR - https://www.scopus.com/pages/publications/85210875050
U2 - 10.1007/978-3-031-70684-4_25
DO - 10.1007/978-3-031-70684-4_25
M3 - Conference Proceeding
AN - SCOPUS:85210875050
SN - 9783031706837
T3 - Lecture Notes in Networks and Systems
SP - 302
EP - 311
BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
A2 - Abdul Majeed, Anwar P.P.
A2 - Yap, Eng Hwa
A2 - Liu, Pengcheng
A2 - Huang, Xiaowei
A2 - Nguyen, Anh
A2 - Chen, Wei
A2 - Kim, Ue-Hwan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Y2 - 6 December 2023 through 8 December 2023
ER -