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cs.RO2026
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation
Namai Chandra, Shriram Damodaran, Lin Wang
Vision-Language-Action (VLA) models excel at mapping visual inputs and natural language instructions directly to robotic control policies. However, because they are trained primari…
cs.RO2025
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
Jian Liu, Xiongtao Shi, Thai Duy Nguyen +13
The rapid evolution of artificial intelligence (AI) has shifted from static, data-driven models to dynamic systems capable of perceiving and interacting with real-world environment…