Imitation Learning from a Single Demonstration Leveraging Vector Quantization for Robotic Harvesting

Imitation Learning from a Single Demonstration Leveraging Vector Quantization for Robotic Harvesting

The ability of robots to tackle complex non-repetitive tasks will be key in bringing a new level of automation in agricultural applications still involving labor-intensive, menial, and physically demanding activities due to high cognitive requirements. Harvesting is one such example as it requires a...

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Bibliographic Details
Main Authors: Antonios Porichis, Myrto Inglezou, Nikolaos Kegkeroglou, Vishwanathan Mohan, Panagiotis Chatzakos
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Robotics
Subjects:
imitation learning
learning by demonstration
vector quantization
mushroom harvesting
visual servoing
Online Access:https://www.mdpi.com/2218-6581/13/7/98

Internet

https://www.mdpi.com/2218-6581/13/7/98

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