MIT AI model promises to simplify path planning in warehouses

MIT researchers have applied AI for traffic mitigation to managing multiple warehouse robots.

Researchers at the Massachusetts Institute of Technology have applied ideas from the use of artificial intelligence to mitigate traffic congestion to tackle robotic path planning in warehouses. The team has developed a deep-learning model that can decongest robots nearly four times faster than typical strong random search methods, according to MIT. 

The post MIT AI model promises to simplify path planning in warehouses appeared first on The Robot Report.

More Related Posts

NIST Issues Post Quantum Cryptography Standards and Calls for their Adoption

After much anticipation, the National Institute of Standards and Technology (NIST) issued...

Carnegie Mellon Expands AI Research with Google-Powered Cloud GPU Cluster

As the birthplace of artificial intelligence (AI) and a global leader in...

Computing Leaders Release Scorecard for IEEE Computer Society’s 2022 Tech Predictions

The IEEE Computer Society (IEEE CS) known for reporting top technology trends...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.