Jame Theerawath's Projects
Leveraging system development and robot deployment for aerial autonomous navigation.
A beautiful, simple, clean, and responsive Jekyll theme for academics
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Robotics with GPU computing
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
A Robust and Efficient Trajectory Planner for Quadrotors
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
This package provides a DVS simulation implemented as Gazebo plugin.
Connnects Gazebo to Isaac Sim
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
ICRA2020 paperlist by paopaorobot
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on EKF(ESKF, IEKF), UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Unified framework for robot learning built on NVIDIA Isaac Sim
Python library for Azure Kinect
SDK to communicate with LeddarTech sensors
Intelยฎ RealSenseโข SDK
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Reinforcement Learning Environments for Omniverse Isaac Gym