Robotic Automation brings Yaskawa’s adaptive, AI-powered robotics to Australian food, beverage and packaging manufacturers, delivering real-time decision-making on the factory floor.
Australian manufacturers across food, beverage and packaging continue to grapple with labour shortages, rising operating costs and the pressure to run increasingly flexible, high-mix production environments. Stepping into this gap is Motoman NEXT, Yaskawa’s next-generation AI-enabled robotic platform, now available locally through Robotic Automation.
Positioned as a step-change for industrial automation, Motoman NEXT combines traditional robotic control with advanced artificial intelligence, allowing the system to perceive, plan and act autonomously. Unlike conventional robots that follow pre-programmed paths, Motoman NEXT adapts to real-time factory conditions, opening the door to automation of tasks previously considered too variable or complex.
Adaptive automation powered by AI
Central to the platform is autonomous path planning, enabling robots to dynamically adjust their movements in response to obstacles or changing production scenarios. Integrated machine vision and AI provide the ability to inspect, sort and make decisions without manual intervention, while digital twin simulation allows manufacturers to test and optimise workflows before deployment.
Motoman NEXT also offers an open architecture that supports ROS2 and Docker, making it easier for users to integrate third-party tools and tailor the system to their production needs.
Unlocking value for food, beverage and packaging
For producers dealing with short runs, frequent changeovers and SKU proliferation, Motoman NEXT offers a pathway to higher productivity without compromising flexibility. Dexterous tasks – such as handling irregular food items, mixed packaging formats or variable product presentation – can be automated with greater reliability.
Collaborative models NHC12 and NHC30 further extend the platform’s application in shared workspaces, with intuitive hand-guided teaching that reduces commissioning time and allows operators to work safely alongside the robot. These systems are supported locally by Robotic Automation, which provides on-the-ground integration, parts and technical expertise.
Real-world applications
Early deployments internationally point to strong opportunities in food and beverage, where the robot’s adaptive capabilities support sorting, packaging and palletising of irregular items. In packaging operations, it enables more responsive case packing, bin picking and other dynamic workflows. Pharmaceutical and laboratory environments are using the platform for precision handling tasks and quality-control processes where consistency is critical.
Robotic Automation says that for manufacturers seeking to sharpen their competitive edge, Motoman NEXT represents more than a technology upgrade. Its adaptive performance and AI-driven intelligence offer a way to scale automation even in complex, labour-intensive environments – supporting better utilisation of local skills, higher throughput and improved safety outcomes.
Further information or demonstrations are available through Robotic Automation via its website or contact channels.
