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[IROS 2024]: Multi-robot active graph exploration with reduced pose-SLAM uncertainty via submodular optimization.
[IROS 2024] DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving.
[IROS 2024] Lightweight Language-driven Grasp Detection using Conditional Consisitency Model
Loose Coupled Kalman Filter (LCKF) for fusing GPS and IMU data to estimate the 3D position of a moving object
[IROS 2024] JointLoc: A Real-time Visual Localization Framework for Planetary UAVs Based on Joint Relative and Absolute Pose Estimation
Code for paper "Diff-Control: A stateful Diffusion-based Policy for Imitation Learning" (Liu et al., IROS 2024)
[Official] [IROS 2024] A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
[IROS 2024] Official implementation of paper: DriVLMe: "Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experience"s
[IROS 2024] HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration
This is the official Pytorch implementation of the IROS 2024 paper Deep Visual Odometry with Events and Frames using Recurrent Asynchronous and Massively Parallel (RAMP) networks for Visual Odometr…
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
a Python implementation of the octree data structure and supporting algorithms
[IROS 2024] MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements
HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024
[IROS 2024] I2EKF-LO: A Dual-Iteration Extended Kalman Filter based LiDAR Odometry
This repository is an open-sourced code for the IROS 2024 paper.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
Coding: ①Path planning: RRT*, A*; ② Tracking: Optimization, PurePursuit, FollowLine. ③Planning and control on a mobile manipulator
Package for Path Planning and Tracking created using ROS2, Turtlebot3, A*, and PurePursuit
Python implementation of mpc controller for path tracking
Robust model predictive control for path tracking with obstacle avoidance
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance