Robotic AI is transforming manufacturing, logistics, and e-commerce by enabling robots to learn and adapt in real time. However, many systems still depend on human-tagged data or remote supervision, limiting true autonomy and scalability.
IHI Logistics & Machinery has partnered with OSARO to deploy machine-learning-enabled robotic depalletizing systems for warehouse automation in Japan. OSARO’s advanced vision software enables precise mixed-case depalletizing, improving efficiency in tasks typically prone to workplace injuries.
OSARO AutoModel™ enhances fulfillment robots by enabling real-time, autonomous adaptation to new SKUs, reducing onboarding time and increasing efficiency in handling diverse items and workflows.
Robots are in a new, smarter era, and that’s paying dividends for depalletizing and palletizing operations.
Move over production cell robots, smart pick-and-place robotics for materials handling, mixed-SKU depalletizing solutions, smart parcel handling robots, AMRs, were out in force at A3’s Automate.
As part of the agreement, IHI will license multiple OSARO Robotic Depalletizing Systems, which use OSARO SightWorks™ Perception for picking, mixed-case depalletizing, induction, kitting, and other automated functions.
OSARO, a developer of robotics for e-commerce, has launched its OSARO Robotic Depalletization System.
OSARO’s Robotic Depalletization System, designed specifically for warehouse and fulfillment applications that involve unloading pallets of various-sized boxes, was selected by DAC Robotics for inclusion in its three-step robotics system that handles depalletization, box opening, and decanting.
This warehouse automation system takes aim at one of the most dangerous and labour-intensive jobs in the e-commerce fulfillment and warehousing: the daily unloading of hundreds of heavy and cumbersome boxes and packages that arrive at a warehouse on a standard pallet.
Robot provider says machine vision and AI learning allow for flexible deployment.
