Edge-Based Infrared-Ultrasonic Anti-Collision Radar System for Robotic Navigation: *Applications of Cost-effective Bisensory System for Obstacle Detection, Tracking, and Avoidance

Nnoli, Kosisochukwu Pal; Benyeogor, Mbadiwe Samuel; Bolu, Jones Ifeanyi; Olakanmi, Oladayo Olufemi

doi:10.1109/hst56032.2022.10024985

Cited by 2 publications

(2 citation statements)

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“…In obstacle detection, infrared sensors are frequently used because of their rapid response and compact size [ 41 , 42 , 43 ]. Jianwei Zhao et al [ 44 ] designed a multi-sensor mobile robot that uses infrared sensors mounted in front of the two front wheels at the bottom of the robot to detect ground pits.…”

Section: Overview Of Single Sensor Sensing Technologiesmentioning

confidence: 99%

“…However, because the weighted average method does not take into account the relationship between the front and rear states of the robot, its anti-disturbance ability is not excellent in the face of highly dynamic environments. Kosisochukwu Pal Nnoli et al [ 43 ] fused infrared and ultrasonic sensors to detect obstacles. Their approach uses an error-filtering covariance and averaging algorithm to logically fuse distance measurements from a pair of infrared and ultrasonic sensors to track the proximity of environmental obstacles within a 180-degree range in front of a mobile robot.…”

Section: Overview Of Multi-sensor Fusion Sensing Technologiesmentioning

confidence: 99%

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A Review of Sensing Technologies for Indoor Autonomous Mobile Robots

Liu,

Wang,

Xie

et al. 2024

Sensors

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As a fundamental issue in robotics academia and industry, indoor autonomous mobile robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information about their working environment and themselves, which can be realized through sensors and the extraction of corresponding information from the measurements of these sensors. The application of sensing technologies can enable mobile robots to perform localization, mapping, target or obstacle recognition, and motion tasks, etc. This paper reviews sensing technologies for autonomous mobile robots in indoor scenes. The benefits and potential problems of using a single sensor in application are analyzed and compared, and the basic principles and popular algorithms used in processing these sensor data are introduced. In addition, some mainstream technologies of multi-sensor fusion are introduced. Finally, this paper discusses the future development trends in the sensing technology for autonomous mobile robots in indoor scenes, as well as the challenges in the practical application environments.

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