2 citations · 2 across the 4 of their papers we have counts for
4 papers
Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors
Dhruv Shah, Jorge Cortes
Data-driven approximations of the infinite-dimensional Koopman operator rely on finite-dimensional projections, where the predictive accuracy of the resulting models hinges heavily…
MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
Abhay Deshpande, Maya Guru, Rose Hendrix +23
A prevailing view in robot learning is that simulation alone is not enough; effective sim-to-real transfer is widely believed to require at least some real-world data collection or…
Grounding Robot Generalization in Training Data via Retrieval-Augmented VLMs
Jensen Gao, Dorsa Sadigh, Sandy Huang +1
Recent work on robot manipulation has advanced policy generalization to novel scenarios. However, it is often difficult to characterize how different evaluation settings actually r…
GOAT: GO to Any Thing
Matthew Chang, Theophile Gervet, Mukul Khanna +10
In deployment scenarios such as homes and warehouses, mobile robots are expected to autonomously navigate for extended periods, seamlessly executing tasks articulated in terms that…