Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricultural Environments

Automating tasks in outdoor agricultural fields poses significant challenges due to environmental variability, unstructured terrain, and diverse crop characteristics. We present a robotic system that leverages imitation learning for autonomous pepper harvesting designed to operate in these complex s...

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Vydané v:	IEEE robotics and automation letters Ročník 10; číslo 4; s. 3406 - 3413
Hlavní autori:	Kim, Chung Hee, Silwal, Abhisesh, Kantor, George
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2025
Predmet:	Agricultural automation Cameras Crops Data collection Faces Grippers Imitation learning learning from demonstration robotics and automation in agriculture and forestry Robots Robustness Service robots Training
ISSN:	2377-3766, 2377-3766
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