3 papers
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.RO2026
A High-Fidelity Digital Twin for Robotic Manipulation Based on 3D Gaussian Splatting
Ziyang Sun, Lingfan Bao, Tianhu Peng +2
Developing high-fidelity, interactive digital twins is crucial for enabling closed-loop motion planning and reliable real-world robot execution, which are essential to advancing si…
cs.CL2026
On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions
Zhiyuan He, Binghan Chen, Tianxiang Xiong +3
Recent advances in Knowledge Editing (KE), particularly Rank-One Model Editing (ROME), show superior efficiency over fine-tuning and in-context learning for updating single-hop fac…