2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots
Taeyeong Choi, Dario Guevara, Zifei Cheng +5
In agricultural environments, viewpoint planning can be a critical functionality for a robot with visual sensors to obtain informative observations of objects of interest (e.g., fr…
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies
Taeyeong Choi, Owen Would, Adrian Salazar-Gomez +1
Data augmentation can be a simple yet powerful tool for autonomous robots to fully utilise available data for selfsupervised identification of atypical scenes or objects. State-of-…
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
Taeyeong Choi, Grzegorz Cielniak
In our previous work, we designed a systematic policy to prioritize sampling locations to lead significant accuracy improvement in spatial interpolation by using the prediction unc…