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Alan Hunter

3 accepted papers

2024

Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping

IROS 2024

Station-keeping tasks for high-altitude balloons show promise in areas such as ecological surveys, atmospheric analysis, and communication relays. However, identifying the optimal time and position to launch a latex high-altitude balloon is still a challenging and multifaceted problem. For example,

Cited by 0SourceScholar
2024

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot

IROS 2024poster

Free-roaming dollies enhance filmmaking with dynamic movement, but challenges in automated camera control remain unresolved. Our study advances this field by applying Reinforcement Learning (RL) to automate dolly-in shots using free-roaming ground-based filming robots, overcoming traditional control…

Cited by 0SourceScholar
2023

Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning

IROS 2023poster

High altitude balloons have proved useful for ecological aerial surveys, atmospheric monitoring, and communication relays. However, due to weight and power constraints, there is a need to investigate alternate modes of propulsion to navigate in the stratosphere. Very recently, reinforcement learning…

Cited by 2SourceScholar