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Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous Environment
Shuhao Ye, Sitong Mao, Yuxiang Cui +7
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an agent to follow natural language instructions through unseen environments. Existing imitation learning (I…
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…