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Found 5 papers, 3 papers with code
PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning
Learning agents can optimize standard autonomous navigation improving flexibility, efficiency, and computational cost of the system by adopting a wide variety of approaches.
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities.
Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
In this paper, we propose a learning-based approach to tackle waypoint generation for planning a navigation path for row-based crops, starting from a top-view map of the region-of-interest.
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines.
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
Precision agriculture is a fast-growing field that aims at introducing affordable and effective automation into agricultural processes.
