Remote Phase-Shift LiDAR With Communication

Hai, Yalong; Luo, Yufei; Liu, Chenxu; Dang, Anhong

doi:10.1109/tcomm.2023.3233962

Cited by 7 publications

(1 citation statement)

References 40 publications

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“…LiDAR (Light Detection and Ranging) is a technology that uses laser pulses to measure distance and speed, and it is widely utilized in robotic control and navigation systems. Depending on their operating modes, LiDAR can be classified into several main types: solid-state LiDAR [71], flash LiDAR [72], phase-shift LiDAR [73], and frequency-modulated continuous-wave (FMCW) LiDAR [74]. In robotic control, LiDAR is employed for navi-gation and positioning, environmental perception, target recognition and tracking, and obstacle detection and avoidance.…”

Section: Lidarmentioning

confidence: 99%

Robotics Perception and Control: Key Technologies and Applications

Luo,

Zhou,

Zeng

et al. 2024

Micromachines

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The integration of advanced sensor technologies has significantly propelled the dynamic development of robotics, thus inaugurating a new era in automation and artificial intelligence. Given the rapid advancements in robotics technology, its core area—robot control technology—has attracted increasing attention. Notably, sensors and sensor fusion technologies, which are considered essential for enhancing robot control technologies, have been widely and successfully applied in the field of robotics. Therefore, the integration of sensors and sensor fusion techniques with robot control technologies, which enables adaptation to various tasks in new situations, is emerging as a promising approach. This review seeks to delineate how sensors and sensor fusion technologies are combined with robot control technologies. It presents nine types of sensors used in robot control, discusses representative control methods, and summarizes their applications across various domains. Finally, this survey discusses existing challenges and potential future directions.

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