activity
20162023
most citedControl of a Quadrotor with Reinforcement Learning

533 citations · 1k across the 19 of their papers we have counts for

collaborators

21 papers

cs.CV2023

Visual based Tomato Size Measurement System for an Indoor Farming Environment

Andy Kweon, Vishnu Hu, Jong Yoon Lim +7

As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry. Current existing vision systems for yield estimation face…

cs.CV2022

deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques

Inkyu Sa, JongYoon Lim, Ho Seok Ahn +1

This paper presents datasets utilised for synthetic near-infrared (NIR) image generation and bounding-box level fruit detection systems. It is undeniable that high-calibre machine…

cs.CL2021★ 11 cited

Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models

JongYoon Lim, Inkyu Sa, Ho Seok Ahn +3

Sentiment prediction remains a challenging and unresolved task in various research fields, including psychology, neuroscience, and computer science. This stems from its high degree…

cs.RO2021★ 106 cited

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

Nicolas Hudson, Fletcher Talbot, Mark Cox +31

Heterogeneous teams of robots, leveraging a balance between autonomy and human interaction, bring powerful capabilities to the problem of exploring dangerous, unstructured subterra…

cs.RO2020

Virtual Surfaces and Attitude Aware Planning and Behaviours for Negative Obstacle Navigation

Thomas Hines, Kazys Stepanas, Fletcher Talbot +5

This paper presents an autonomous navigation system for ground robots traversing aggressive unstructured terrain through a cohesive arrangement of mapping, deliberative planning an…

cs.RO2020

End-to-End Velocity Estimation For Autonomous Racing

Sirish Srinivasan, Inkyu Sa, Alex Zyner +3

Velocity estimation plays a central role in driverless vehicles, but standard and affordable methods struggle to cope with extreme scenarios like aggressive maneuvers due to the pr…