arXiv AI
Visual Task Modeling and Automated Planning for Humanoid Robots in Education of Individuals with Autism Spectrum Disorder
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A Few Words Go a Long Way: Language Guided Robot Policy Synthesis
arXiv:2607. 23784v1 Announce Type: cross Abstract: While vision-language-action models have demonstrated impressive zero-shot manipulation capabilities, they remain fundamentally black box policies that are difficult to interpret, adapt, or correct when they inevitably fail.
arXiv AI
Jul 24
Vision-Language-Policy Model for Dynamic Robot Task Planning
arXiv:2512. 19178v2 Announce Type: replace-cross Abstract: Bridging the gap between natural language commands and autonomous execution in unstructured environments remains an open challenge for robotics.
arXiv AI
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Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning
arXiv:2606. 12910v1 Announce Type: cross Abstract: For robotics to be effectively integrated into household or industrial environments, machines must adapt to natural-language prompts in real time.
arXiv AI
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Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents
arXiv:2609.37810v1 Announce Type: cross Abstract: Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains chal...
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Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents
Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains challenging. More recently, general-purpose multimodal...
arXiv AI
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RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
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