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20232026
most citedSymbolic Regression on Sparse and Noisy Data with Gaussian Processes

2 citations · 2 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

FORM: Robot Manipulation through Direct Material Law Identification

Stepan Tretiakov, Ruihan Zhao, Cheng-Hsi Hsiao +6

When interacting with an unfamiliar deformable material, a robot lacks prior knowledge of its physical properties and how it will respond to applied forces and motion. Rapid online…

cs.RO2026

Path Planning in Physically Viable World Models

Su Ann Low, Cheng-Hsi Hsiao, Xingjian Li +3

Robots deployed in unstructured outdoor environments often plan from scene reconstructions collected before deployment because operators cannot remap large or remote sites before e…

cs.RO2025

Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments

William Ward, Sarah Etter, Jesse Quattrociocchi +3

Autonomous robots must go from zero prior knowledge to safe control within seconds to operate in unstructured environments. Abrupt terrain changes, such as a sudden transition to i…

cs.RO2025

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments

William Ward, Sarah Etter, Tyler Ingebrand +3

Autonomous mobile robots operating in remote, unstructured environments must adapt to new, unpredictable terrains that can change rapidly during operation. In such scenarios, a cri…

cs.RO2024

Zero-Shot Transfer of Neural ODEs

Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu

Autonomous systems often encounter environments and scenarios beyond the scope of their training data, which underscores a critical challenge: the need to generalize and adapt to u…