Xamla / torch-ros
Torch7/lua wrapper of roscpp via ffi.
☆20Updated 5 years ago
Related projects: ⓘ
- ☆18Updated 6 years ago
- Depth-Based Bayesian Object Tracking Library☆62Updated 4 years ago
- Point Cloud Library (PCL) bindings for Torch☆30Updated 6 years ago
- python binding of octomap☆25Updated 5 years ago
- Estimate road layout attributes given street view imagery☆29Updated 7 years ago
- ☆14Updated this week
- ROS Client Library for Lua☆34Updated 9 years ago
- Deep reinforcement learning-driven robotic controller and navigation library using Torch.☆34Updated 7 years ago
- [deprecated] Bridge from Gym to ROS robots☆74Updated last year
- Code for Towards Visual Ego-Motion Learning in Robots☆12Updated 7 years ago
- Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.☆36Updated 7 years ago
- ROS nodes for visualization, calibration, car and passenger detection for Didi autonomous driving competition.☆14Updated 7 years ago
- Work on Gaussian Process Implicit Surfaces☆43Updated 7 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Updated 6 years ago
- Visual Transition State Clustering☆13Updated 6 years ago
- Integrate Caffe model into ROS☆71Updated 7 years ago
- A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution☆73Updated 7 years ago
- Code for the paper "Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning" (ICRA 2018)☆14Updated 6 years ago
- Deliberative Perception for RGB-D Object Instance Localization☆19Updated 4 years ago
- Code and data accompanying "Learning Deployable Navigation at Kilometer Scale from a Single Traversal"☆9Updated 6 years ago
- ☆26Updated 7 years ago
- ☆19Updated 6 years ago
- Driving in TORCS using Caffe following Direct Perception approach☆47Updated 7 years ago
- Deep Q-learning with Caffe on Space Invaders☆19Updated 9 years ago
- ☆21Updated 7 years ago
- ☆22Updated 8 years ago
- ☆31Updated this week
- This is the right place for you to get started!☆33Updated 4 years ago
- LfD: Learning from Demonstrations for Robotic Manipulation☆46Updated 9 years ago
- ☆69Updated this week