Zico Da Silva — accepted AI-conference papers

2024

Monocular 3D Reconstruction of Cheetahs in the Wild*

Zico Da Silva, Zuhayr Parkar, Naoya Muramatsu, Fred Nicolls, Amir Patel

IROS 2024poster

This paper introduces a framework for monocular 3D reconstruction of cheetah movements, leveraging a combination of data-driven and physics-based modeling as well as trajectory optimization. Unlike traditional methods that rely solely on kinematics, our approach integrates dynamic motion principles,…

Cited by 0 Source ↗Scholar ↗

2022

Improving 3D Markerless Pose Estimation of Animals in the Wild using Low-Cost Cameras

Naoya Muramatsu, Zico da Silva, Daniel Joska, Fred Nicolls, Amir Patel

IROS 2022poster

Tracking the 3D motion of agile animals in the wild will enable new insight into the design of robotic controllers. However, in-field 3D pose estimation of high-speed wildlife such as cheetahs is still a challenge [1]. In this work, we aim to solve two of these challenges: unnatural pose estimates d…

Cited by 5 Source ↗code ↗Scholar ↗