Skip to main content

Share story

Robotics Science

Magnetic navigation study reports lower drift and tracking in poor light

Researchers report that MISLAM, a system that estimates position and builds a map using inertial and magnetic sensors, reduced total endpoint closure error by 45.7% - 78.0% relative to magnetic-inertial odometry. The preprint evaluates the system offline on three indoor datasets collected with a handheld rig. MISLAM combines an inertial measurement unit with nine magnetometers, using local magnetic-field models to estimate motion and a global model to correct drift. Under poor illumination, it maintained tracking after visual-inertial odometry failed, with a horizontal closure error of 0.332 m. Vertical drift remains a limitation, and the evaluation used a handheld rig rather than deployed field robots.
Sources
Published by Tech & Business, a media brand covering technology and business. This story was sourced from arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30 and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
Robotics
Robotics

Toyota and Waymo unveil bZ4X robotaxi for Japan testing in 2027

Toyota and Waymo unveiled a bZ4X-based robotaxi that Waymo plans to test in Japan beginning in 2027, Yahoo News UK reported. Toyota will install and integrate Waymo's autonomous-driving equipment at its Takaoka factory in Toyota City, Aichi Prefecture.