14 citations · 14 across the 10 of their papers we have counts for
12 papers
SkipWorld: Latent Skip Planning with Distilled World Models for Efficient Visual Navigation
Yifei Yang, Zehua Fan, Zike Yan +2
World-model-based visual navigation enables action planning by predicting future states under candidate trajectories. However, long-horizon rollout remains challenging: models are…
Fisheye-VLA: Decoupling Coverage and Acuity for Manipulation with a Single Fisheye Camera
Ziang Ren, Zike Yan, Raymond Zhang +2
Manipulation requires both broad scene awareness and detailed local feedback, yet conventional camera rigs provide them through separate front and wrist cameras. We present Fisheye…
KEMO: Event-Driven Keyframe Memory for Long-Horizon Robot Manipulation with VLA Policies
Yihan Zeng, Minghao Ye, Yiyuan Chen +4
Long-horizon robot manipulation remains challenging because similar observations may occur at different execution stages, while the appropriate action depends on previously complet…
CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM
Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo +9
Recent Vision-Language Models (VLMs) have demonstrated significant potential in robotic planning. However, they typically function as semantic reasoners, lacking an intrinsic under…
DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments
Yufei Jia, Guangyu Wang, Yuhang Dong +17
We present the first unified, modular, open-source 3DGS-based simulation framework for Real2Sim2Real robot learning. It features a holistic Real2Sim pipeline that synthesizes hyper…
COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation
Siqi Zhang, Yanyuan Qiao, Qunbo Wang +4
Vision-and-Language Navigation (VLN) tasks have gained prominence within artificial intelligence research due to their potential application in fields like home assistants. Many co…
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer
Lu Shi, Yuxuan Xu, Shiyu Wang +6
The sim-to-real gap remains a critical challenge in robotics, hindering the deployment of algorithms trained in simulation to real-world systems. We propose a flexible Real-to-Sim-…
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting
Yuetao Li, Zijia Kuang, Ting Li +4
We propose ActiveSplat, an autonomous high-fidelity reconstruction system leveraging Gaussian splatting. Taking advantage of efficient and realistic rendering, the system establish…
Active Neural Mapping at Scale
Zijia Kuang, Zike Yan, Hao Zhao +2
We introduce a NeRF-based active mapping system that enables efficient and robust exploration of large-scale indoor environments. The key to our approach is the extraction of a gen…
Camera Relocalization in Shadow-free Neural Radiance Fields
Shiyao Xu, Caiyun Liu, Yuantao Chen +5
Camera relocalization is a crucial problem in computer vision and robotics. Recent advancements in neural radiance fields (NeRFs) have shown promise in synthesizing photo-realistic…
Blending Distributed NeRFs with Tri-stage Robust Pose Optimization
Baijun Ye, Caiyun Liu, Xiaoyu Ye +6
Due to the limited model capacity, leveraging distributed Neural Radiance Fields (NeRFs) for modeling extensive urban environments has become a necessity. However, current distribu…
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation
Zhide Zhong, Jiakai Cao, Songen Gu +6
We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation. Central to our approach is a novel scene node data…