Showing Posts From Lidar
Sensors in Robotics: How Ultrasonic, LiDAR, and IMU Work
Sensors are to robots what eyes, ears, and skin are to humans—but with far fewer limits. While we rely on just five senses, robots can be equipped with many more, sensing distances, movement, vibrations, orientation, light intensity, and even chemical properties. These sensors form the bridge between the digital intelligence of a robot and the physical world it operates in.
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Computer Vision vs. Sensor Fusion: Who Wins the Self-Driving Car Race?
Tesla’s bold claim that “humans drive with eyes and a brain, so our cars will too” sparked one of the most polarizing debates in autonomous vehicle (AV) technology: Can vision-only systems truly compete with—or even outperform—multi-sensor fusion architectures?
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What is SLAM? And Why It’s the Brain of Mobile Robots
In robotics, SLAM—Simultaneous Localization and Mapping—is regarded as one of the most fundamental and complex problems. At its core, SLAM addresses a deceptively simple question: “Where am I, and what does the world around me look like?”
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