17 citations · 33 across the 9 of their papers we have counts for
10 papers
EgoNav: Bridging Learned Waypoints and Geometry-Aware Local Control for Robust Indoor Navigation
Jing Wang, Shiqi Zhao, Hairong Qu +1
Image-goal navigation using lightweight topological maps is a practical paradigm for indoor robot deployment: the map requires only geotagged images, and localization relies on vis…
GelFusion: Enhancing Robotic Manipulation under Visual Constraints via Visuotactile Fusion
Shulong Jiang, Shiqi Zhao, Yuxuan Fan +1
Visuotactile sensing offers rich contact information that can help mitigate performance bottlenecks in imitation learning, particularly under vision-limited conditions, such as amb…
General Place Recognition Survey: Towards Real-World Autonomy
Peng Yin, Jianhao Jiao, Shiqi Zhao +5
In the realm of robotics, the quest for achieving real-world autonomy, capable of executing large-scale and long-term operations, has positioned place recognition (PR) as a corners…
MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position
Jingtian Yan, Xingqiao Lin, Zhongqiang Ren +6
Multi-agent exploration of a bounded 3D environment with unknown initial positions of agents is a challenging problem. It requires quickly exploring the environments as well as rob…
iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images
Peng Yin, Ivan Cisneros, Ji Zhang +2
The visual camera is an attractive device in beyond visual line of sight (B-VLOS) drone operation, since they are low in size, weight, power, and cost, and can provide redundant mo…
General Place Recognition Survey: Towards the Real-world Autonomy Age
Peng Yin, Shiqi Zhao, Ivan Cisneros +6
Place recognition is the fundamental module that can assist Simultaneous Localization and Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation. The…
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition
Peng Yin, Abulikemu Abuduweili, Shiqi Zhao +2
We present BioSLAM, a lifelong SLAM framework for learning various new appearances incrementally and maintaining accurate place recognition for previously visited areas. Unlike hum…
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments
Peng Yin, Haowen Lai, Shiqi Zhao +4
We present AutoMerge, a LiDAR data processing framework for assembling a large number of map segments into a complete map. Traditional large-scale map merging methods are fragile t…
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor
Shiqi Zhao, Peng Yin, Ge Yi +1
LiDAR-based localization approach is a fundamental module for large-scale navigation tasks, such as last-mile delivery and autonomous driving, and localization robustness highly re…
ALITA: A Large-scale Incremental Dataset for Long-term Autonomy
Peng Yin, Shiqi Zhao, Ruohai Ge +5
For long-term autonomy, most place recognition methods are mainly evaluated on simplified scenarios or simulated datasets, which cannot provide solid evidence to evaluate the readi…