From the 1 of 10 linked papers with an AI index.
10 papers
Vorch-Omni: Multi-Task Orchestration of Sight and Sound
Vorch Team, Xiaoyu Chen, Yang Ding +25
Recent advances in generative video modeling have enabled diverse generation, reference-based synthesis, extension, and editing, but existing approaches often rely on fragmented ta…
Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
Guanxiong Chen, Qianjun Xia, Jiawei Peng +21
Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover…
ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories
Siyuan Luo, Nairong Zheng, Lin Zhou +6
The paper introduces ISE, a three-stage pipeline for creating a large dataset of multi‑turn OS‑agent interactions that include structured intents, simulated dialogues, and real too…
Enabling Robust Cloth Manipulation via Inference-Time Simulator-in-the-Loop Refinement
Xin Liu, Yulin Li, Ziming Li +7
Simulator-in-the-loop optimization offers a promising inference-time mechanism for robot manipulation. It uses a physical simulator as a backend rollout engine to evaluate candidat…
Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation
Kunqi Xu, Zhenhao Huang, Siyuan Luo +2
Robotic manipulation robustness often founders on the physics gap between simplified simulations and the resistance-laden real world. In this work, we emphasize that physical reali…
Few-Shot Neural Differentiable Simulator: Real-to-Sim Rigid-Contact Modeling
Zhenhao Huang, Siyuan Luo, Bingyang Zhou +3
Accurate physics simulation is essential for robotic learning and control, yet analytical simulators often fail to capture complex contact dynamics, while learning-based simulators…