SLAM 기술을 활용한 저가형 자율주행 배달 로봇 시스템 개발
Development of Low Cost Autonomous-Driving Delivery Robot System Using SLAM Technology
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This paper discusses the increasing need for autonomous delivery robots due to the current growth in the delivery market, rising delivery fees, high costs of hiring delivery personnel, and the need for contactless services. Additionally, the cost of hardware and complex software systems required to build and operate autonomous delivery robots is high. To provide a low-cost alternative to this, this paper proposes a autonomous delivery robot platform using a low-cost sensor combination of 2D LIDAR, depth camera and tracking camera to replace the existing expensive 3D LIDAR. The proposed robot was developed using the RTAB-Map SLAM open source package for 2D mapping and overcomes the limitations of low-cost sensors by using the convex hull algorithm. The paper details the hardware and software configuration of the robot and presents the results of driving experiments. The proposed platform has significant potential for various industries, including the delivery and other industries.
Abstract
This paper discusses the increasing need for autonomous delivery robots due to the current growth in the delivery market, rising delivery fees, high costs of hiring delivery personnel, and the need for contactless services. Additionally, the cost of hardware and complex software systems required to build and operate autonomous delivery robots is high. To provide a low-cost alternative to this, this paper proposes a autonomous delivery robot platform using a low-cost sensor combination of 2D LIDAR, depth camera and tracking camera to replace the existing expensive 3D LIDAR. The proposed robot was developed using the RTAB-Map SLAM open source package for 2D mapping and overcomes the limitations of low-cost sensors by using the convex hull algorithm. The paper details the hardware and software configuration of the robot and presents the results of driving experiments. The proposed platform has significant potential for various industries, including the delivery and other industries.
참고문헌 (21)
- S. Srinivas, "Autonomous Robot-driven Deliveries: A Review of Recent Developments and Future Directions", Transportation Research Part E: Logistics and Transportation Review, 165 (2022)
- S. l. Choi, "Trends and Implications of Logistics", delivery Robots in the era of the 4th Industrial Revolution, 2019, pp.34(04), 98~107
- 류요엘, "배송로봇의 보도 주행 허용을 위한 위험성 평가 모델을 활용한 안전 요구사항 개발에 관한 연구", 한국산학기술학회논문지, 22(9), pp.10~18 (2021), 한국산학기술학회[DOI]
- M. Labbé, "RTAB-map as an Open-source Lidar and Visual SLAM Library for Large-scale and Long-term Online Operation", J Field Robot, 36(2), pp.416~446 (2019)
- D. Hutabarat, "Lidar-based Obstacle Avoidance for the Autonomous Mobile Robot", 2019 12th International Conference on Information & Communication Technology and System (ICTS), pp.197~202 (2019)
- E. Tsykunov, "Coupling of Localization and Depth Data for Mapping Using Intel RealSense T265 and D435i Cameras", ~ (2020)
- P. Hausamann, "Evaluation of the Intel RealSense T265 for Tracking Natural Human Head Motion", Sci Rep, 11(1) (2021)
- M. M. Rahman, "Optimum Harvesting Area of Convex and Concave Polygon Field for Path Planning of Robot Combine Harvester", Intel Serv Robotics, 12, pp.167~179 (2019)
- 백수진, "실내 자율주행에 적합한 SLAM과 전역경로생성 방법을 적용한 휠체어로봇 구현", 대한임베디드공학회논문지, 16(6), pp.293~297 (2021), 대한임베디드공학회[DOI]
- E. W. Dijkstra, "A Note on Two Problems in Connection with Graphs", Numerische Mathematic, ~ (1959)
- D. Fox, "The Dynamic Window Approach to Collision Avoidance", IEEE Robotics and Automation Magazine, 4(1), pp.23~33 (1997)
- J. Y. Heo, "Precise Visual Loop Closure Detection for LiDAR-based SLAM", Summer Annual Conference of Institute of Electronics and Information Engineers, pp.938~939 (2019)