5 papers
Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot
Philip Lorimer, Alan Hunter, Wenbin Li
Cinematic camera control demands a balance of precision and artistry - qualities that are difficult to encode through handcrafted reward functions. While reinforcement learning (RL…
Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot
Philip Lorimer, Jack Saunders, Alan Hunter +1
Free-roaming dollies enhance filmmaking with dynamic movement, but challenges in automated camera control remain unresolved. Our study advances this field by applying Reinforcement…
Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping
Jack Saunders, Sajad Saeedi, Adam Hartshorne +4
Station-keeping tasks for high-altitude balloons show promise in areas such as ecological surveys, atmospheric analysis, and communication relays. However, identifying the optimal…
DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications
Nillan Nimal, Wenbin Li, Ronald Clark +1
The creation of accurate virtual models of real-world objects is imperative to robotic simulations and applications such as computer vision, artificial intelligence, and machine le…
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning
Jack Saunders, Loïc Prenevost, Özgür Şimşek +2
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…