Papers

Filtered to simulation benchmarks · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations

147 upvotes · 27 OCT 2026 · Hanqing Wang, Zhaotian Cai, Ruichuan An et al.

This paper introduces a new model called PDRVLA that helps robots understand the physical world from visual and language inputs, and generate actions accordingly. Practitioners in robotics and AI might care about this research because it aims to improve robots' ability to perform tasks in real-world environments.

vision-language modelsphysical dynamicsaction generationroboticssimulation benchmarks