3 papers
cs.RO2025
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps
Haiming Gao, Qibo Qiu, Hongyan Liu +3
This paper presents an effective and reliable pose tracking solution, termed ERPoT, for mobile robots operating in large-scale outdoor and challenging indoor environments, underpin…
cs.CV2024
SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition
Qibo Qiu, Wenxiao Wang, Haochao Ying +3
Point cloud-based place recognition is crucial for mobile robots and autonomous vehicles, especially when the global positioning sensor is not accessible. LiDAR points are scattere…
cs.CV2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang, Minghao Chen, Qibo Qiu +5
For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and plan…