- Ph.D course student at DGIST BRM lab. Interested in Mobile robotics, Autonomous driving.
- Autonomous driving for mobile robots
- Local path planning(motion planning)
- Global path planning
- ROS based system integration
- Biomimetic mobile robots
Name: 임승현
Type: User
Company: DGIST
Bio: Ph.D course student at DGIST BRM lab. Interested in Mobile robotics, Autonomous driving.
Location: Korea, Republic of
Astar algorithm with smoothed path using Fast marching method
ROS controllers for self balancing robot, Bobble-Bot.
Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018
Gazebo simulation of Dpoom
Official code and checkpoint release for "GNM: A General Navigation Model to Drive Any Robot".
Model database
Tutorial Materials for ICCV19
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS
A numpy-only implementation of a Convolutional Neural Network, from the ground up.
python-based examples of path following algorithms
python-based path planning algortihms
Tutorial code for python based path planning algorithms
PyQt based control panel for the locomotion of snake robot
<Do it 강화학습 입문(Getting Started with Deep Reinforcement Learning)> 소스코드 저장소
Simple code using cv2 to extract the walkable area (or reachable random goal point) for robot
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.