June 16, 2023, 5:40 a.m. | Niharika Singh

MarkTechPost www.marktechpost.com

MIT researchers have developed a groundbreaking technique that enables machines to solve complex stabilize-avoid problems more effectively than previous methods. The new machine-learning approach, presented in a paper by lead author Oswin So and senior author Chuchu Fan, allows autonomous aircraft to navigate treacherous terrain with a tenfold increase in stability and achieve their goals […]


The post Revolutionizing Navigation: MIT Researchers Unveil a Novel Machine Learning Approach for Autonomous Vehicle Stabilization and Obstacle Avoidance appeared first on MarkTechPost.

aircraft ai shorts applications artificial intelligence author autonomous autonomous vehicle editors pick machine machine learning machines mit mit researchers navigation novel paper researchers staff tech news technology

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US