8 papers
LadderMan: Learning Humanoid Perceptive Ladder Climbing
Siheng Zhao, Yuanhang Zhang, Ziqi Lu +6
Humanoid robots hold great promise for operating in human-centered environments, yet ladder climbing remains one of the most challenging tasks due to sparse footholds and handholds…
Ψ-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer
Xuan Yu, Yuxuan Xie, Changjian Jiang +4
Open-vocabulary panoptic reconstruction is essential for advanced robotics perception and simulation. However, existing methods based on 3D Gaussian Splatting (3DGS) often struggle…
Fast-SegSim: Real-Time Open-Vocabulary Segmentation for Robotics in Simulation
Xuan Yu, Yuxuan Xie, Shichao Zhai +3
Open-vocabulary panoptic reconstruction is crucial for advanced robotics and simulation. However, existing 3D reconstruction methods, such as NeRF or Gaussian Splatting variants, o…
IntentReact: Guiding Reactive Object-Centric Navigation via Topological Intent
Yanmei Jiao, Anpeng Lu, Wenhan Hu +4
Object-goal visual navigation requires robots to reason over semantic structure and act effectively under partial observability. Recent approaches based on object-level topological…
ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments
Shuhao Ye, Sitong Mao, Yuxiang Cui +6
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to navigate towards target in continuous environments, following natural language instruct…
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction
Xuan Yu, Yuxuan Xie, Yili Liu +4
Open-vocabulary panoptic reconstruction offers comprehensive scene understanding, enabling advances in embodied robotics and photorealistic simulation. In this paper, we propose Pa…