proem

Engineering

3 years ago

New Fusion Technology Makes Mobile Robots Map Environments with 85.5% Less Error

arXiv (Cornell University)

Cost-effective Mapping of Mobile Robot Based on the Fusion of UWB and Short-range 2D LiDAR

Ran Liu, Yongping He, Chau Yuen, Billy Pik Lik Lau, Rashid Ali, Wenpeng Fu, Zhiqiang Cao

Paper Summary

Engineering

3 years ago

New Fusion Technology Makes Mobile Robots Map Environments with 85.5% Less Error

arXiv (Cornell University)

Cost-effective Mapping of Mobile Robot Based on the Fusion of UWB and Short-range 2D LiDAR

Ran Liu, Yongping He, Chau Yuen, Billy Pik Lik Lau, Rashid Ali, Wenpeng Fu, Zhiqiang Cao

Paper Summary

Mapping environments for mobile robots is crucial for tasks like navigation. Using a combination of UWB and 2D LiDARs, researchers improved mapping quality in feature-less areas. They optimized the robot's path using UWB and odometry, then added LiDAR data for accuracy. In tests, their method reduced mapping errors by 85.5% compared to traditional methods using short-range LiDAR.