1 介绍

The evolution of autonomous mobile robotic systems

2 视频

3 Modular prototype

• prototype: Version 3.0
• scalable height
• length: 192 mm
• width: 785 mm
• 40 kg weight
• 60 km/h maximum speed
• 65 kg liftig capacity

4 Mechanical construction

The principle of an inverse pendulum without an external counterweight allows a space saving and lightweight concept. Moreover the driving dynamic is maximized by the constant strain of the driving weels.

• direct drive
• increased energy efficiency through selflocking lifting arms
• increased stability through topology optimized design
• size and driving performance scalable,
• dependent on desired characteristics
• configurable design, tuned for the use case
• usage of individual handle technology

5 Hardware architecture and technology

Despite of its versatile capabilities, the whole technology of evoBOT® is completely integrated in the robot. Accordingly no additional hardware is necessary. For the robot layot costefficient components were used that complies to the latest technology regarding precision, efficiency and dynamic.

6 Autonomy und navigation

Localization algorithms are specially developed to allow extreme inclination angle and high velocities. Through this, use indoors and outdoors becomes possible. Further details about autonomy and navigation:

• usage of Visual Slam for navigation indoors and outdoors
• near field recognition by sensors
• localization accuracy in one-digit centimeter range

7 Operation of the robot

The prototype currently has a driving time of 5-8 hours. Furthermore, the evoBOT® is able to drive on different and uneven surfaces. With a suitable surface, a slop of up to 45 degrees can be comfortably managed.

8 Technical data

The compact evoBOT® has a height of 923mm, width of 785mm and length of 192mm, with a weight of 40 kilograms. The maximum speed is 60 km/h with a strong acceleration and braking effect. The lifting capacity is currently at 65 kg and a payload of 100kg. This specification is strongly dependent on the application and can be individually adapted.

参考

1、Fraunhofer Institute for Material Flow and Logistics
2、evoBOT® Homepage
3、Department IoT and Embedded Systems