2022年11月21日 · SLAM (simultaneous localization and mapping) is a method used for autonomous mobile robots (AMRs) that lets you build a map and localize your vehicle in that map at the same time. LiDAR (light detection and ranging) technology assists robots to navigate their surroundings through object perception, identification and collision avoidance.

2024年9月4日 · As one of the core components of AMRs, LiDAR serves as the 'eyes' of the robot. LiDAR not only enables high-precision positioning and navigation but also provides real-time detection and identification of obstacles, ensuring reliable safety for AMR's obstacle avoidance.

2022年1月18日 · Perception data produced by lidar sensors provide additional efficiency benefits to AMRs. Lidar creates images that are easily readable by computers and do not require extensive processing in order to detect objects or create maps. Lidar data can also be compressed and transmitted to central systems, human operators, or other robots.

industrial LiDAR are traffic monitoring systems, port and terminal monitoring, distribution warehouse navigation and monitoring, autonomous mobile robots (AMR), autonomous industrial vehicles (AGV), and even some personal electronic applications such as smartphones and tablets. What Benefit Does Industrial LiDAR Add for Robotics?

2025年1月16日 · Autonomous Mobile Robots (AMRs) are redefining industries, from logistics to healthcare, by offering intelligent and adaptable solutions for complex navigation tasks. Imagine a robot that can seamlessly navigate dynamic environments, integrating the precision of LiDAR and the versatility of cameras to perceive and understand its surroundings.

This study addresses the development of a protection system employing LiDAR sensors and fuzzy logic to enable obstacle detection and avoidance for AMR-T. LiDAR sensors are utilized to gather spatial data, enabling real-time analysis of the surrounding environment.

2025年3月18日 · In this deep dive, we’ll explore how the integration of Kudan Visual SLAM and NVIDIA Isaac Perceptor is setting new performance standards for AMR perception, and driving the next leap in the evolution of autonomous robotics. Key highlights of what the blog entails: Advantages of 3D cameras over 2D LiDAR; Software architecture and key modules

2023年10月19日 · This article presents an extrinsic calibration for coordinates of a single 2-D LiDAR in AMRs’ base coordinates directly, which ensures accuracy as well as easy tool installation, fast, and simple observation for data samples without supports from other sensors.

2021年4月15日 · Next generation sensors, such as advanced 3D lidar, will increase AMRs’ abilities to monitor and respond to their changing surroundings in both indoor and outdoor applications. These improvements are critical for achieving broad AMR adoption because robots must detect and classify objects at ranges that allow appropriate decision-making and ...

More accurate and robust localization with Visual SLAM and/or 3D-Lidar SLAM against scenery changes and dynamic objects; Faster time-to-market compared to internal development or open-source based approach; Productivity improvement due to faster operation speed; Overall hardware cost reduction through lower grade sensors