1 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Valencia, Henry Williams, Yuning Xing +3
Reinforcement Learning (RL) has been widely used to solve tasks where the environment consistently provides a dense reward value. However, in real-world scenarios, rewards can ofte…
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Harvey Merton, Thomas Delamore, Karl Stol +1
With the continued introduction of driverless events to Formula:Society of Automotive Engineers (F:SAE) competitions around the world, teams are investigating all aspects of the au…
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…
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…