• 목록
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

Lidar Navigation for Robot Vacuums

As opposed to cameras Lidar (Light Detection and Ranging) sensors emit laser beams that reflect off objects to create real-time maps. This allows robot vacuums to avoid obstacles and clean paths more efficiently.

This also means that you don't have to control your vacuum manually. Lidar is more expensive than vacuums that have simpler navigation systems.

Precise Navigation

The accuracy of lidar navigation is an important factor in the robot vacuuming market. It transforms these machines from basic household tools to smart devices that are efficient, accurate and adaptable. The technology is at the core of many modern industries and applications that include self-driving cars micro-mobility, smart agriculture construction, surveying, and even construction. Precision navigation is essential for these technologies as it allows machines to determine where exactly they are in 3D space, and with high accuracy, repeatability, speed and confidence.

Lidar is a system that emits laser beams and analyzing the time it takes those beams to bounce off surrounding objects before returning to the sensor. This allows the system create a real-time map its surroundings, which in turn allows for precision navigation, obstacle avoidance and optimized path planning. This allows robot vacuums to move more efficiently and effectively, ensuring that every area of the house are clean and furniture is not damaged.

A good lidar system should be able create an entire map of the space it operates in, allowing it to do an extensive sweep in one go. This will help save battery life since the robot won't have to recharge and stop as often as it would with a less advanced scanning system. A lidar robot will also be able to detect when it crosses an threshold, like transitioning from hardwood flooring to carpeting. This causes the vacuum to lower its suction and reduce the chance that flooring or upholstery could be damaged.

A high-quality lidar should also be able to detect ledges or drops, and automatically slow down its movements or stop it to avoid falling and damaging furniture or the room. This is particularly important in a robot vacuum designed for use on stairs where a fall could be extremely risky.

While a handful of Silicon Valley startup companies are working on lidar sensors made of solid state for robotics, the majority still rely on Velodyne's older technology. It's costly to manufacture at a large scale and has a few limitations. However the capability to gather large amounts of data in a short amount of time is an asset and it's no wonder that a lot of self-driving vehicles and robot vacuums utilize it to move around.

Autonomy