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sensVLA: Spatially-Grounded Vision-Language-Action Model for Autonomous Wheel Loader

Erabati, Gopi Krishna et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognitionrobotics
Autonomous wheel-loader control requires joint reasoning over task semantics, egocentric vision, proprioception, and 3D scene geometry. We present sensVLA, a Vision-Language-Action (VLA) architecture that combines a Qwen3-2B Vision-Language Model (VLM) with a fully trainable transformer action exper
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