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Introduction to Robot Sensors. Robots operate in diverse environments and often require diverse sets of sensors to appropriately characterize them. For example, a self-driving car may utilize cameras, stereo cameras, lidar, and radar.
In the realm of service and companion robots, sensors let the robots interact with humans in a more natural and intuitive way, responding to voice commands, gestures, or even facial expressions. An in-depth look at the most common sensors in robotics
9 maj 2024 · 20. Touch Sensors. Functionality: Touch sensors detect physical contact or touch input on their surfaces. They enable human-robot interaction through gestures, tapping, or pressing. Applications: Integrated into human-machine interfaces, interactive displays, and assistive robots for touch-based input and tactile feedback. In conclusion
3 mar 2022 · Robots use touch sensors for a variety of tasks. For example, bump sensors are used for navigation to tell the robot that it bumped into an object and thus must change course. Force sensors allow the robot to know when pressure or mechanical stress is being applied.
Self-driving cars use a variety of sensors to evaluate and navigate their environment. Each type of sensor has advantages and disadvantages. In this project you will evaluate two common types of distance sensor (ultrasonic and infrared) and compare their performance in different scenarios.
In this paper, we introduce OmniTact, a multi-directional high-resolution tactile sensor. OmniTact is designed to be used as a fingertip for robotic manipulation with robotic hands, and uses multiple micro-cameras to detect multi-directional deformations of a gel-based skin.
Mechanical sensors, specifically tactile and force-torque sensors, bring a semblance of the sense of touch to robots. This might seem trivial, but the ability to 'feel' can significantly influence a robot's interaction with its environment. Let's break it down.
