Jing Liang
  • Bio
  • News
  • Projects
  • Submissions
  • Papers
  • Experience
  • News
    • We have a paper accepted by ISER 2025: MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding.
    • We have six papers accepted by IROS 2025: VL-TGS, AutoSpatial, Social-LLaVA, ET-Former, CSCPR, and On the Vulnerability of LLM/VLM-Controlled Robotics.
    • We have three papers accepted by ICRA 2025: BehAV, VLM-Social-Nav and GND.
    • I gave an invited talk in UC riverside.
    • I gave an invited talk in the North Carolina State University.
    • We have 3 papers accepted by IROS 2024: PoCo, DTG and Probabilistic Motion Forecasting.
  • Scene Understanding
    • ET-Former: Efficient Triplane Deformable Attention for 3D Semantic Scene Completion From Monocular Camera
    • On the safety concerns of deploying llms/vlms in robotics: Highlighting the risks and vulnerabilities
    • Mtg: Mapless trajectory generator with traversability coverage for outdoor navigation
    • Terrapn: Unstructured terrain navigation using online self-supervised learning
    • Autonomous social distancing in urban environments using a quadruped robot
  • Social Navigation
    • AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning
    • Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces
    • Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments
    • VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
    • BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes
  • Outdoor Navigation
    • MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding
    • VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments
    • Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic
    • DTG: Diffusion-based Trajectory Generation for Mapless Global Navigation
    • GrASPE: Graph based Multimodal Fusion for Robot Navigation in Outdoor Environments
    • Adaptiveon: Adaptive outdoor local navigation method for stable and reliable actions
  • Place Recognition
    • CSCPR: Cross-Source-Context Indoor RGB-D Place Recognition
    • PoCo: Point Context Cluster for RGBD Indoor Place Recognition
    • Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception
    • CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
  • Datasets
    • GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
  • Projects
    • Datasets
    • Indoor Navigation
    • Outdoor Navigation
    • Place Recognition
    • Scene Understanding
    • Social Navigation
  • Projects
  • Experience
  • Indoor Navigation
    • MSVIPER
    • Image-goal navigation in complex environments via modular learning
    • XAI-N: Sensor-based robot navigation using expert policies and decision trees
    • OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors
    • Crowd-steer: Realtime smooth and collision-free robot navigation in densely crowded scenarios trained using high-fidelity simulation
    • DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors

Scene Understanding

Oct 1010, 12120 · 1 min read
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Scene understanding analysis the environment from robots’ observations and extract important information for down-stream tasks.

Last updated on Oct 1010, 12120
Projects
Jing Liang
Authors
Jing Liang
Postdoctoral Scholar
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