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馃 馃 RPM Robotics Lab 馃殫 馃摲

Robust Perception and Mobile Robotics Lab (RPM Robotics Lab) focuses on perceptual simultaneous localization and mapping (SLAM). Main research interest and detailed robotics topics include perception-based environment mapping, intelligent sensor fusion, decision making and control of the robotic agents, robotic operation, and navigation in GPS-denied environments (e.g., underwater, urban, and indoor environments).

Datasets (click to expand):
  • 馃搨 Complex Urban Dataset : Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments;
  • 馃搨 MulRan : Multimodal Range Dataset for Urban Place Recognition;
  • 馃搨 STheReO Dataset : Stereo Thermal Dataset for Research in Odometry and Mapping;
  • 馃搨 TRansPose : Large-Scale Multispectral Dataset for Transparent Object;
  • 馃搨 HeLiPR Dataset : Heterogeneous LiDAR Dataset for inter-LiDAR Place Recognition;
Sensor Calibration (click to expand):
  • 馃搨 Discocal (CVPR'24) : Unbiased Estimator for Distorted Conics in Camera Calibration;
  • 馃搨 PeLiCal (ICRA'24) : Targetless Extrinsic Calibration via Penetrating Lines for RGB-D Cameras with Limited Co-visibility;
LiDAR SLAM for Enhanced Resilience (click to expand):
  • 馃搨 Scan Context (IROS'18) : Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map;
  • 馃搨 Scan Context++ (T-RO'22) : Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments;
  • 馃搨 MA-LIO (RA-L'23) : Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation;
Radar in Robot Navigation (click to expand):
  • 馃搨 PhaRaO (ICRA'20) : Direct Radar Odometry using Phase Correlation;
  • 馃搨 RaPlace (IROS'23) : Place Recognition for Imaging Radar using Radon Transform and Mutable Threshold;
  • 馃搨 Co-RaL (IROS'24) : Complementary Radar-Leg Odometry with 4-DoF Optimization and Rolling Contact;
Thermal Camera for SLAM beyond the Visible Spectrum (click to expand):
  • 馃搨 sRGB-TIR (ICRA'23) : Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels;
  • 馃搨 Fieldscale (RA-L'24) : Locality-Aware Field-based Adaptive Rescaling for Thermal Infrared Image;
Vision-based Robot Manipulation (click to expand):
  • 馃搨 PrimA6D (RA-L'20) : Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation;
  • 馃搨 PrimA6D++ (RA-L'22) : Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation;