AI based assistant systems:
The Future of Crane Operation
AI based assistant systems:
The Future of Crane Operation
The CraneLink family of products has been developed to help crane operators with their daily workload. Operators can use CraneLink products to carry out repetitive, tedious and dangerous tasks and enhance their view of the operating area with vital 3D information. CraneLink helps reduce stress and improve safety on site.
Augmented Reality for the operator: Safely Navigating in 3D
CraneLink's Augmented Reality features clearly show the grapple or hook's position in 3D space. This is a great help for the operator as they drive the load to its destination, and increases safety and speed.
Intuitive position recall for
crane operators
Our Shortcuts Solution simplifies repetitive crane operations by allowing operators to store and recall precise grapple positions at the touch of a button.
Active load stabilization for
smooth crane operation
Intelligent obstacle detection for safe crane operation
If the system detects an impending collision between the grapple or hook and any object in the crane's working area, it creates an alert on the HMI and stops the crane. When used with partial or full autonomy, the system will circumvent the obstacle.
Enhanced safety through real-time monitoring
Our system recognizes people via AI while they are in the crane's operating area. It alerts the crane operator and, if desired, smoothly halts the system to prevent dangerous situations.
Safe, low latency, 3D augmented remote control - local or via internet
CraneLink Remote Control enables video monitored remote operation of cranes over the internet at extremely ow latencies. This allows cranes to be remotely operated with video support from virtually any location on the planet.
Complete data replay of crane operations
Our Time Machine module records and stores all available sensor data from the crane in realt time, creating a comprehensive log of everyday operation.
Intelligent crane movement optimization
Our Path Planning system intelligently calculates the optimal movement path for the crane, fully tailored to the operator's priorities and working conditions.

Volker Voss
Managing Director Sales
Get in touch
Interested in learning more? - Get in touch directly with our Managing Director of Sales. Simply press the button below, ask your questions, and we’ll get in touch to discuss how our solutions can support your operators.
Subscribe to Newsletter
PSIORI was founded in 2016 by and around former students and employees of the research groups Prof. Dr. Wolfram Burgard (Autonomous Intelligent Systems) and Prof. Dr. Martin Riedmiller (Machine Learning) of the Technical Faculty of Freiburg. In the areas of SLAM and Reinforcement Learning, these research groups have decisively driven the state of research. In our research, we have dealt with the topics of autonomous driving, mobile robotics, machine learning, neural networks, reinforcement learning and generative AI as well as in the application with problems from the areas of sensor processing, self-location and mapping and with robot, vehicle and machine control.