Schlüsselfunktion Mobilität

Serviceroboter im gewerblichen Umfeld sind ein boomender Markt und sorgen bereits in vielen Bereichen wie bspw. Logistik oder Produktion für effiziente, wirtschaftliche Abläufe. Entscheidend beim Ausüben dieser automatisierten Dienstleistung ist, dass sich die Roboter flexibel, zuverlässig und sicher in dynamischen Umfeldern bewegen können

Robotikinnovationen für die Logistik

Die Logistik muss höchsten Anforderungen genügen, um der weltweit steigenden Nachfrage im Consumer- wie auch im professionellen Umfeld gerecht zu werden. In immer kürzerer Zeit müssen bei hohem Kostendruck Waren für die Zustellung bereitstehen. Automatisierungslösungen mit Robotertechnologien sind eine wirtschaftliche und flexible Lösung für Unternehmen, um den genannten Anforderungen zu begegnen

Cooperative longterm SLAM for navigating mobile robots in industrial applications

Precise and reliable localization as well as dynamic path planning are key components to enable flexibly and efficiently operating mobile robots in industrial applications. Both strongly depend on up-to-date navigation maps of the respective environment. However, in these particular applications, providing those maps can be very challenging due to the typical dynamics and size of the environment. Promising approaches tackle the issue of localization in dynamic environments by estimating an update of the map while simultaneously localizing in it. In order to have a good estimate of the dynamics of the environment and update the map accordingly, frequent observations of all areas of the environment are required. This is often not possible, especially in large environments and from a single robot's perspective. To overcome this problem, we present a cooperative approach which uses the sensor information of all mobile robots and possibly available stationary sensors to generate an up-to-date global map and precisely localize the robots within it. We use dynamic occupancy grid maps with Rao-Blackwellized particle filters in combination with a suitable server-agent architecture to allow cooperation. The advantage of our approach is shown both in simulation and on real hardware

A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks

This paper presents a hybrid localization approach for mobile robots combining local grid maps and natural landmarks. The approach at hand benefits from the advantages of both environment representations. While using memory-efficient geometric models describing natural landmarks as features for localization in structured regions, the proposed system clusters the remaining areas as raw local grid maps and incorporates those as pose features only for unstructured areas of the environment. To evaluate the functionality and performance of the approach at hand, extensive testing and benchmarking in an experimental setup has been conducted using an external sensor system for reference measurements

MiRoR—Miniaturized Robotic Systems for Holistic In-Situ Repair and maintenance works in restrained and hazardous environments

This letter presents the novel concept of a miniaturized robotized machine tool, Mini-RoboMach, consisting of a walking hexapod robot and a Slender Continuum Arm. By combining the mobility of the walking robot with the positioning accuracy of the machine tool, with its 24 + 25 degrees of freedom, camera-based calibration system, laser scanner, and two end-effectors of opposed orientations, the proposed system can provide a versatile tool for in-situ work (e.g., repair) in hazardous/unreachable locations in large installations