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From the 3 of 9 linked papers with an AI index.

collaborators

9 papers

cs.AI2026

RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination

Haotian Liang, Mingkang Chen, Yufei Huang +27

The paper introduces RxBrain, a foundation model that jointly reasons over language and visual inputs to create embodied plans, using a multimodal Mixture-of-Transformers architect…

cs.CV2026

Hy-Embodied-VLM-1.0: Efficient Physical-World Agents

Ziyi Wang, Xumin Yu, Yongming Rao +19

Building capable embodied agents requires not only multimodal perception and understanding, but also agentic capabilities for reasoning about actions, adapting to evolving situatio…

cs.RO2026

ProAct: A Benchmark and Multimodal Framework for Structure-Aware Proactive Response

Xiaomeng Zhu, Fengming Zhu, Weijie Zhou +8

The paper introduces ProAct-75, a benchmark of 75 proactive tasks with step‑level annotations and task graphs, and presents ProAct-Helper, a multimodal LLM that uses these graphs f…

cs.RO2026

Plan Right, Then Plan Tight: Symbolic RL for Efficient Embodied Reasoning

Xiangli Shi, Xiaomeng Zhu, Ye Tian +5

Embodied task planning asks an agent to turn a natural-language instruction into an executable sequence of actions in a physical scene, and is a building block for household, assis…

cs.CV2026

Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance

Liangyu Yuan, Yufei Huang, Mingkun Lei +5

Diffusion models generate synthetic images through an iterative refinement process. However, the misalignment between the simulation-free objective and the iterative process often…

cs.CL2026

UltraLogic: Enhancing LLM Reasoning through Large-Scale Data Synthesis and Bipolar Float Reward

Yile Liu, Yixian Liu, Zongwei Li +7

While Large Language Models (LLMs) have demonstrated significant potential in natural language processing , complex general-purpose reasoning requiring multi-step logic, planning,…