Francisco Yandún — accepted AI-conference papers

2025

SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting

Mohammad Nomaan Qureshi, Sparsh Garg, Francisco Yandún, David Held, George Kantor, Abhisesh Silwal

ICRA 2025

Sim2Real transfer, particularly for manipulation policies relying on RGB images, remains a critical challenge in robotics due to the significant domain shift between syn-thetic and real-world visual data. In this paper, we propose SplatSim, a novel framework that leverages Gaussian Splatting as the

Cited by 66 Source ↗code ↗Scholar ↗

2025

Towards Over-Canopy Autonomous Navigation: Crop-Agnostic LiDAR-Based Crop-Row Detection in Arable Fields

Ruiji Liu, Francisco Yandún, George Kantor

ICRA 2025

Autonomous navigation is crucial for various robotics applications in agriculture. However, many existing methods depend on RTK-GPS devices, which can be susceptible to loss of radio signal or intermittent reception of corrections from the internet. Consequently, research has increasingly focused on

Cited by 4 Source ↗Scholar ↗