Team FREDT
Team members
Enrico Schleef, Anna Ricken, Tobias Lamping
Team captain’s name
Enrico Schleef
Instructor(s)
Dr.‒Ing. Jan Schattenberg, Technische Universität Braunschweig, IMN ‒ Institut für mobile Maschinen und Nutzfahrzeuge, 38106 Braunschweig
Participating in the FRE since
2006
Description of the team and robot
Helios Evo is the current robot generation of FREDT. It is based on our proven chassis with four wheel drive and all wheel ackermann steering.
The main component of Helios Evo is the multifunctional body in which the central electrical distribution and battery‒management‒unit as well as the agricultural rear lift system with 20 kg load capacity are integrated. The rear lift system is equipped with integrated electrical‒ and fl uid‒lines. The vehicle body also includes the main computer and the cooling and light system. A dual LIDAR Sensor System is used for improved driving stability and navigation.
Robot specifications
W x L x H (cm):
35 x 69 x 40
Weight (kg):
30
Commercial or prototype:
Prototype
Total no. of wheels / no. driven wheels:
4
Drivetrain concept/ max. speed (m/s):
Ackermann Steering, 3.5 m/s
Turning radius (cm):
75
Battery type / capacity (Ah):
2x Li-Ion 155Wh
Total motor power (W):
250
No. of sensors internal/
external:
Sensor type:
2x Sick Tim 571 (Laser scanner)
2x Intel Realsense D435 (3D camera)
Controller system software description:
Two LIDAR at different heights are used to approximate the distances between the rows of maize plants. In addition, it is easier to recognise obstacles such as leaves from different angles.
By processing, it is possible to determine the centre of the robot to the plant rows to predict how the robot can drive through the rows as fast as possible.
Controller system hardware description:
The navigation runs on a NUC 11 i7-1165G7, NVDIA RTX2060, 16GB RAM, 1 TB SSD. It contains steering the motor for driving and steering servos for turning as well as data analysis by several sensors, which are localised in front of the robot. In addition, there are several micro-controller based systems used for battery management and all other functions concerning task-implements (e.g. servos, rear power lift, sprayer, ...). All systems are connected by CAN-Bus.
Short strategy description for navigation and applications:
Because of the ackermann steering our robot is very efficient at driving with relatively high speed in straight or curved lines
Given the higher speed we designed and tuned our software and hardware systems for fast reaction times and minimal delay (keep it simple and fast)
These are the commercial team sponsors & partners:
Technische Universität Braunschweig
, Institut für mobile Maschinen und Nutzfahrzeuge, Technische Universität Braunschweig, Carolo-Wilhelmina Stiftung