activity
20202025
most citedKiwifruit detection in challenging conditions

6 citations · 19 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.RO2024★ 1 cited

Improving Pallet Detection Using Synthetic Data

Henry Gann, Josiah Bull, Trevor Gee +1

The use of synthetic data in machine learning saves a significant amount of time when implementing an effective object detector. However, there is limited research in this domain.…

cs.RO2024★ 3 cited

Does ChatGPT and Whisper Make Humanoid Robots More Relatable?

Xiaohui Chen, Katherine Luo, Trevor Gee +1

Humanoid robots are designed to be relatable to humans for applications such as customer support and helpdesk services. However, many such systems, including Softbank's Pepper, fal…

cs.RO2023

Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard

Ans Qureshi, David Smith, Trevor Gee +12

Aotearoa New Zealand has a strong and growing apple industry but struggles to access workers to complete skilled, seasonal tasks such as thinning. To ensure effective thinning and…

cs.RO2023★ 1 cited

Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning

Ans Qureshi, Neville Loh, Young Min Kwon +10

Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards. One of the primary challenges is…

cs.RO2020★ 1 cited

Design of a sensing module for a kiwifruit flower pollinator robot

Mahla Nejati, Ho Seok Ahn, Bruce MacDonald

This paper describes steps taken to develop a sensing module for a robotic kiwifruit flower pollinator, which could be integrated into an imaging module and a spray module. The pap…