Papers

Filtered to action intelligence · clear filter

Browse by term

continual learning 64reinforcement learning 34large language models 17benchmarking 12vision-language models 10generative models 8language models 8video generation 7multimodal models 6natural language processing 6robotics 6world models 6benchmarks 5diffusion models 5on-policy distillation 5policy optimization 5scalability 5self-distillation 5vision-language-action models 5autoregressive models 4computer vision 4diffusion transformers 4LLMs 4multimodal large language models 4verifiable rewards 4attention mechanisms 3embodied intelligence 3image editing 3long-term memory 3multimodal learning 3

Matching papers

HumanCLAW: Can Vision-Language Models Act Through a Body?

65 upvotes · 29 JUL 2026 · Siyao Li, Jiawei Gu, Shuai Liu et al.

This paper evaluates whether vision-language models can act through a physical body and how they can make decisions about what actions to take, without being hindered by issues like balance and motor control. Practitioners in AI and robotics might care because understanding how models interact with their physical bodies can help improve their ability to navigate and interact with the world.

vision-language modelsembodied intelligenceaction intelligencemotor controlphysical interaction