Update README.md

README.md

@@ -192,6 +192,12 @@ FR workshop accepts contributions based on the following criteria:
 - The papers should be submitted on Microsoft CMT: *TBD* 
 - Accepted papers will be available on the workshop website. The authors of accepted papers will be invited to present their results in a poster session during the workshop.
 
+# Competition
+
+The workshop will also feature a competition designed to address key challenges in field robot deployment, driving advancements toward real-world applications and expanding the scope of robotic capabilities. The competition will focus on vision-based tasks such as segmentation and semantic scene understanding, particularly in complex, off-road, and densely vegetated environments. Additionally, traditional SLAM techniques will be adapted for use with emerging RADAR sensors, which are ideal for navigating dense vegetation, as well as multispectral sensors, offering promising solutions for localization and situational awareness in GNSS-denied or low-light conditions.
+
+Participants will have access to extensive datasets, including recordings from wheeled, tracked, and multi-legged robots navigating challenging off-road terrains. Besides vision data, these datasets will feature RADAR-based perception data for off-road environments and multispectral data for scenarios where passive sensors are crucial. Competitors will submit solutions for tasks like semantic segmentation and localization. Top-performing participants will present their results at the ICRA 2025 workshop, with prizes of 500 EUR, 300 EUR, and 200 EUR awarded to the 1st, 2nd, and 3rd place winners, respectively. The competition's aim is to tackle the unique challenges of perception and localization for field robots, fostering innovations in sensor technologies that enable autonomous operation in unstructured and demanding environments.
+
 # Organizers
 
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