The First Research

DynaVINS: A Visual-Inertial SLAM for Dynamic Environments
AdaLIO: Adaptive LiDAR Inertial Odometry
STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor
UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping
ALVIO: Adaptive Line Visual Inertial Odometry
HG-SLAM: Hierarchical Graph-based SLAM
G2P-SLAM: Generalized Grouping and Pruning-Based RGB-D SLAM Framework for Mobile Robots in Low-Dynamic Environments
GP-SLAM: Grouping Nodes and Puning Constraints SLAM
DV-SLAM: Dual-sensor-based Vector-field SLAM
MU-SLAM: Magnetic-field-based Underground SLAM
BRM: Localization: Building Ratio Map Localization for UAVs
NR-UIO: NLOS-Robust UWB-Inertial Odometry based on IMM and NLOS Factor Estimation
GP-ICP: Ground Plane ICP for Mobile Robots

Peacock Exploration: A Lightweight Exploration for UAV using Control-Efficient Trajectory
TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans
MLCPP: Multi-Layer Coverage Path Planner
eARC-Theta*: extended Angular-Rate-Constrained Theta*

AI / ML Algorithms

DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM
MSDPN: Multi-Stage Depth Prediction Neural Network
Retro-RL: Reinforcing Nominal Controller with Deep Reinforcement Learning for Tilting-Rotor Drones
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building
RONet: Range-Only Network