After an eventful week at the international FRE in Slovenia, we got to attend another award ceremony with artist Anas Kahal. At the first Kunstpreis TechnologieRegion Karlsruhe, the jury awarded first place to his ingenious exhibit which features one of our self-built autonomous robots. With „Cassiopeia“, Kahal creates a dynamic environment in which viewers are …
At this year’s Field Robot Event at the University of Maribor in Slovenia, our robot impressively outperformed 14 other competitors in the computer vision-focused Task 3. The task determined the accuracy of the competing robots‘ recognition systems on a series of images of people, deer, and other objects. We also took 2nd place in the …
Letzten Samstag starteten wir unseren Workshop Samstag zusammen mit KITcar. Fünf Stunden lang ging es über diverse Themen von Mikrocontroller Programmierung über Gitlab Continuous Integration bis hin zu spannenden Machine Vision Entwicklungen. Ausreichend Pizza gab es natürlich auch. Auch der Wissensaustausch zwischen KITcar und Kamaro hätte nicht besser laufen können. Wir durften feststellen, dass wir …
Der Beitrag ist von karlsruhe.digital und wurde zuerst auf karlsruhe.digital veröffentlicht. Kamaro Engineering ist ein gemeinnütziger Verein und eine Hochschulgruppe am Karlsruher Institut für Technologie (KIT), die autonome Roboter entwickeln – mit einer besonderen Leidenschaft für Agrarroroboter. Am 1. Juli waren sie bei der Bunten Nacht der Digitalisierung 2022 mit von der Partie. Wir wollten …
From June 13th to 16th we partook in the annual Field Robot Event, the international field robotics showdown. This year the contest was split in a real world field contest and a virtual field contest which again took place in our virtual maize field simulation environment.
As our name Kamaro (Karlsruhe maize robots) suggests we make maize and robots. While we have been obsessing about the robot part, we have been lacking maize as of late. Also, we were excited about testing our brand-new driving algorithm! So, we set about growing our very own maize field behind building 70.21. The most …
Up until now we used the Nvidia Jetson Nano for machine learning acceleration purposes. Sadly, running our object detection models wasn’t viable on the Jetson Nano despite using its CUDA-capable GPU. Our Jetson Nano only managed a poor 5 spf (seconds per frame) and had both its RAM and VRAM running out of space constantly. …
