2 citations · 3 across the 3 of their papers we have counts for
6 papers · 1 filter
Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper
Elizabeth Cutler, Yuning Xing, Tony Cui +8
Reinforcement Learning (RL) training is predominantly conducted in cost-effective and controlled simulation environments. However, the transfer of these trained models to real-worl…
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.…
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…
Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car
Aakaash Salvaji, Harry Taylor, David Valencia +2
With the rising popularity of autonomous navigation research, Formula Student (FS) events are introducing a Driverless Vehicle (DV) category to their event list. This paper present…
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…
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…