Locus Robotics Unveils AI-Driven LocusINTELLIGENCE for Warehouse Automation
Locus Robotics has introduced LocusINTELLIGENCE, a new AI-driven business intelligence software layer within its LocusONE platform, announced in a press release. This innovation aims to enhance warehouse fulfillment operations by providing real-time decision-making, continuous optimization, and deep operational insights.
LocusINTELLIGENCE leverages machine learning and predictive analytics to dynamically manage task allocation, optimize workflows, and coordinate multiple robots. This allows fulfillment operations to align efficiently with real-time demand, ensuring peak efficiency even during fluctuating order volumes and seasonal spikes.
Developed by LocusLABS, the R&D division of Locus Robotics, LocusINTELLIGENCE integrates seamlessly with existing warehouse management systems, enabling rapid deployment and immediate productivity gains. The platform provides operators with real-time operational insights, enhancing throughput, worker performance, and predictive maintenance capabilities.
Locus Robotics will showcase these advancements at upcoming industry events, LogiMAT in Germany and ProMat in the United States, where they will demonstrate the next generation of AI-powered warehouse automation.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Laplace Intelligence uses AI agents to stress test robots and autonomous vehicles
Geekplus Opens European Warehouse Robotics Lab in Düsseldorf
Geekplus Expands Warehouse Robotics Across Two LPP Logistics Sites
LG Forum Examines Physical AI in US Manufacturing
Industrial Next Partners With BMW to Test Flexible Factory Robots
Daily AI Brief: the AI news that matters, in your inbox.