Arjun Guru — accepted AI-conference papers

2026

MolmoSpaces: Large-Scale Open Ecosystem for Robot Manipulation and Navigation

Yejin Kim, Wilbert Pumacay, Omar Rayyan, Max Argus, Winson Han, Eli Vanderbilt +20

RSS 2026poster

Deploying robots at scale demands robustness to the long tail of everyday situations. The countless variations in scene layout, object geometry, and task specifications that characterize real environments are vast and underrepresented in existing robot benchmarks. Measuring this level of generalizat…

Cited by 0 Source ↗Scholar ↗

2021

PennSyn2Real: Training Object Recognition Models Without Human Labeling

Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Arjun Guru, Shashank Prasad +3

RA-L 2021

Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100 000 4K images of more than 20 types of micro aerial vehicles (MAVs). The dataset can be used to generate arbitrary numbers of training i

Cited by 8 Source ↗Scholar ↗