Latest Research in Robotics and Sensor-Based Localization

28 research papers · 2026 median publication year

Top Research Topics in Robotics and Sensor-Based Localization

Highest-Cited Papers

  1. LV-GS SLAM: A Decoupled LiDAR–Visual 3D Gaussian Splatting SLAM in a Large-Scale Environment
  2. Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction
  3. A Semantic Communication Approach to Fiducial Marker Processing in 5G-Enabled Edge SLAM
  4. RoboAtlas: Contextual Active SLAM
  5. Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM
  6. SLAMFormer-$\infty$: Infinite SLAM Transformer for Unbounded Frontend and Backend Processing
  7. CHOW-SLAM: Compact Hybrid Representation with Complementary Overlap Window Optimization for RGB-D SLAM
  8. UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization
  9. Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM
  10. Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking
  11. Look Up and Look Back: Hidden Attention and Latent Orientation in a Frozen Foundation Model for Panoramic SLAM
  12. Multi-Sensor Fusion SLAM Based on LiDAR, IMU and GPS for Structured Urban Scenes
  13. NSL-SLAM: High-Fidelity Neural Structured-Light Depth for Practical SLAM and Reconstruction
  14. Lightweight 2.5D SLAM with Dynamic Map Refinement and Height-Aware Encoding for Resource-Constrained Indoor Robots
  15. SLAM-Former: Putting SLAM into One Transformer
  16. SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces
  17. MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction
  18. Semantic Semi-Incremental Data-Association-Free Object SLAM
  19. KP-SLAM: Joint Flow-Pointmap Prior Synchronization for Robust Consistent Dense Mapping
  20. SFSE-SLAM: Semantic-Geometric Filtering and Texture-Aware Compensation for Robust Visual SLAM in Dynamic Indoor Scenes
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2026 AUG Q2

Robotics and Sensor-Based Localization

28 papers

Top Topics (6)

Robotics9
Robotics and Sensor-Based Localization8
Computer Vision and Pattern Recognition8
Networking and Internet Architecture1
Human-Computer Interaction1
Advanced Vision and Imaging1

Top Publications (20)

1.LV-GS SLAM: A Decoupled LiDAR–Visual 3D Gaussian Splatting SLAM in a Large-Scale Environment2.Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction3.A Semantic Communication Approach to Fiducial Marker Processing in 5G-Enabled Edge SLAM4.RoboAtlas: Contextual Active SLAM5.Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM6.SLAMFormer-$\infty$: Infinite SLAM Transformer for Unbounded Frontend and Backend Processing7.CHOW-SLAM: Compact Hybrid Representation with Complementary Overlap Window Optimization for RGB-D SLAM8.UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization9.Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM10.Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking11.Look Up and Look Back: Hidden Attention and Latent Orientation in a Frozen Foundation Model for Panoramic SLAM12.Multi-Sensor Fusion SLAM Based on LiDAR, IMU and GPS for Structured Urban Scenes13.NSL-SLAM: High-Fidelity Neural Structured-Light Depth for Practical SLAM and Reconstruction14.Lightweight 2.5D SLAM with Dynamic Map Refinement and Height-Aware Encoding for Resource-Constrained Indoor Robots15.SLAM-Former: Putting SLAM into One Transformer16.SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces17.MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction18.Semantic Semi-Incremental Data-Association-Free Object SLAM19.KP-SLAM: Joint Flow-Pointmap Prior Synchronization for Robust Consistent Dense Mapping20.SFSE-SLAM: Semantic-Geometric Filtering and Texture-Aware Compensation for Robust Visual SLAM in Dynamic Indoor Scenes
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