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From the 1 of 6 linked papers with an AI index.

most citedData Scaling Laws in Imitation Learning for Robotic Manipulation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

Lishan Yang, Wenxuan Song, Xi Wang +14

Building on recent advances in world models, World Action Models (WAMs) jointly model video prediction and action generation. However, they typically represent videos in 2D pixel s…

cs.RO2026

DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation

Junfeng Li, Junjie He, Zhide Zhong +12

Vision-Language-Action (VLA) models have become a powerful paradigm for robot manipulation, but training a single generalist policy for heterogeneous robot embodiments remains an o…

cs.AI2026

Step-Level Preference Learning for Generative Agents in Social Simulations

Wenchang Gao, Pingyue Sheng, Lanlan Qiu +7

The paper presents an interactive interface to collect step‑level human preference data for generative agents, creates a 57K annotation dataset, and shows that training LLMs with t…

cs.RO20262 cited

Data Scaling Laws in Imitation Learning for Robotic Manipulation

Fanqi Lin, Yingdong Hu, Pingyue Sheng +3

Data scaling has revolutionized fields like natural language processing and computer vision, providing models with remarkable generalization capabilities. In this paper, we investi…

cs.RO2026

Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials

Yihang Hu, Pingyue Sheng, Yuyang Liu +2

Embodied robots have achieved strong performance in many real-world manipulation tasks, yet agile dynamic manipulation remains challenging due to high sensitivity to motion paramet…

cs.AI2026

Can Large Language Models Reinvent Foundational Algorithms?

Jian Zhao, Haoren Luo, Yu Wang +3

LLMs have shown strong potential to advance scientific discovery. Whether they possess the capacity for foundational innovation, however, remains an open question. In this work, we…