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20242026
most citedHAMMER: Heterogeneous, Multi-Robot Semantic Gaussian Splatting

7 citations · 8 across the 16 of their papers we have counts for

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Showing 2026 · cs.ROShow all

7 papers · 2 filters

cs.RO2026

Training-free Behavior Cloning

Maximilian Adang, Timothy Chen, Lars Osterberg +2

Neural behavior cloning compresses demonstrations into large models, making individual actions difficult to trace and policy updates costly. Retrieval policies retain access to dem…

cs.RO2026

InSight: Self-Guided Skill Acquisition via Steerable VLAs

Maggie Wang, Lars Osterberg, Stephen Tian +5

Vision-language-action (VLA) models excel at robot manipulation via imitation learning, but adapting them to new tasks often requires additional human demonstrations, which can be…

cs.RO2026

Transformer-Based Warm-Starting for Feasible and Optimal Terminal Approach to Tumbling Objects with Space Manipulators

Yuji Takubo, Maximilian Adang, Mac Schwager +1

Autonomous capture of a tumbling object with a space manipulator requires trajectory generation under real-time onboard constraints. However, coupled bus-arm dynamics, rotating saf…

cs.RO2026

Robots Need More than VLA and World Models

Elis Karcini, Faisal Mehrban, Quang Nguyen +6

Generalist robot intelligence is often framed as a policy-scaling problem: collect more robot demonstrations, train larger Vision-Language-Action (VLA) models, and expect broader g…

cs.RO2026

, But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial Manipulation

Johnathan Tucker, Denis Liu, Aiden Swann +7

Vision-Language-Action (VLA) models such as have demonstrated remarkable generalization across diverse fixed-base manipulators. However, transferring these foundation models…

cs.RO2026

Foundational World Models Accurately Detect Bimanual Manipulator Failures

Isaac R. Ward, Michelle Ho, Houjun Liu +7

Deploying visuomotor robots at scale is challenging due to the potential for anomalous failures to degrade performance, cause damage, or endanger human life. Bimanual manipulators…

cs.RO2026

Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models

Aiden Swann, Lachlain McGranahan, Hugo Buurmeijer +2

Vision-Language-Action (VLA) models have emerged as a promising approach for general-purpose robot manipulation. However, little research has mechanistically explored when and why…