1 citations · 1 across the 4 of their papers we have counts for
5 papers
ΔWAM: Distilling Action Tangent Fields into World Action Models
Ke Wu, Hanwen Huang, Bo Gu +6
World Action Models (WAM) improve robot policies by augmenting sparse action supervision with dense future prediction. However, much of the predictable future is dominated by appea…
Resolving State Ambiguity in Robot Manipulation via Adaptive Working Memory Recoding
Qingda Hu, Ziheng Qiu, Zijun Xu +7
State ambiguity is common in robotic manipulation. Identical observations may correspond to multiple valid behavior trajectories. The visuomotor policy must correctly extract the a…
Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving
Tian Niu, Kaizhao Zhang, Zhongxue Gan +1
Planning safe trajectories for autonomous vehicles is essential for operational safety but remains extremely challenging due to the complex interactions among traffic participants.…
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
Muer Tie, Julong Wei, Zhengjun Wang +7
Online construction of open-ended language scenes is crucial for robotic applications, where open-vocabulary interactive scene understanding is required. Recently, neural implicit…
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes
Ke Wu, Kaizhao Zhang, Zhiwei Zhang +7
Online dense mapping of urban scenes forms a fundamental cornerstone for scene understanding and navigation of autonomous vehicles. Recent advancements in mapping methods are mainl…