Siemens is presenting its extensive automation and digitalisation portfolio for the intralogistics industry at this year's Logimat. The IoT-capable hardware and software from the Siemens Xcelerator portfolio covers the entire warehouse operation, including goods receipt, transport, storage, picking, packing and dispatch.
Intralogistics is the backbone of every supply chain. Increasing demands for energy efficiency and sustainability as well as labour shortages and cyber security threats require efficient and adaptive material flow technology. Through the Use of digitalisation, automation and innovative technologies such as the digital twin, Siemens is improving the efficiency and sustainability of the intralogistics industry and paving the way for an intelligent, adaptable and resilient future of logistics operations.
Siemens will be demonstrating a fully automated autonomous mobile robot (AMR) application at its stand, which has been realised using the Simove modular system and features comprehensive integration across all levels. With Simove, Siemens offers a system platform specifically for automated guided vehicles (AGVs) and AMRs. The platform includes modular software components and libraries for guidance control, navigation and general automation and is based on standardised automation and drive components. The Simove modular system for AGV and AMR applications enables the precise design of applications that fulfil individual requirements. In addition, a real AMR with a robotic arm that performs gripping tasks will be on display.
Another highlight is the autonomous load carrier handling technology. The AI-based software system enables AGVs and AMRs to Visual detection, autonomous approach and automatic pick-up of load carriers in variable and dynamic environments. Autonomous load carrier handling solutions are used for forklift truck applications, for example. Their flexible use can significantly reduce costs, engineering and time expenditure.
Siemens is presenting the Safevelo software prototype for AMRs in the field of safety. This allows monitor the speed of a vehicle reliably, This allows the protective fields of safety laser scanners to be switched dynamically. Safevelo is kinematics-independent and does not require any additional safety or incremental encoders to determine the direction of movement of an AMR. This saves valuable installation space, simplifies the system architecture and engineering and reduces cabling costs.
New features for AI vision software
To enable robotic systems to reliably pick and pack any item, they must be able to interact with their environment and adapt to changing situations in the process. The Simatic Robot Pick AI is a pre-trained AI vision software for reliable robot gripping of previously unknown articles, so-called model-free gripping, in demanding pick-by-robot applications with a wide range of articles. Pre-training of the robot by the user is no longer necessary. The pre-trained deep learning algorithm processes a new 3D camera image in milliseconds and determines robust 3D poses for collision-free removal of the articles - regardless of their shape and size.
Siemens will be showcasing two new features at Logimat. On the one hand Simatic Robot Pick Pro in the beta version. The solution supports the orientated gripping of any article with the aid of multi-suction grippers, enabling large, heavy and complex articles to be handled in applications such as bin-picking, depalletising or sorter induction. On the other hand Simatic Robot Pack AI capability, which determines suitable placement positions for any unknown items on the robot arm. As a result, the volume in a target container, such as a shipping box, is optimally utilised.
Source: Siemens
Siemens at LogiMAT 2024: Hall 3, Stand D11
