Maya 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 ↗

2024

Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation

Jan Bruedigam, Ali Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru +4

CoRL 2024poster

Robotic manipulation is challenging due to discontinuous dynamics, as well as high-dimensional state and action spaces. Data-driven approaches that succeed in manipulation tasks require large amounts of data and expert demonstrations, typically from humans. Existing planners are restricted to specif…

Cited by 2 Source ↗code ↗Scholar ↗