fred
habitat-lab
fred | habitat-lab | |
---|---|---|
3 | 3 | |
92 | 1,720 | |
- | 2.5% | |
2.8 | 9.2 | |
9 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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fred
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Anyone know of any good robotic arm programming simulators?
Another option: pybullet. If you just want to learn and you don't need a super high performant system go with python. As an example my code for controlling a simulated robot arm with pybullet my code
- Fred the Robot Arm – 6 DOF 3D printed dynamixel robot arm
- Obstacle avoidance using deep reinforcement learning on a 3d printed 6 DOF robot arm. Github in comments.
habitat-lab
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[D] Looking for open source projects to contribute
There are plenty of them out there. I spend a lot of time contributing to open source projects like Habitat-Sim https://github.com/facebookresearch/habitat-sim and Habitat-Lab https://github.com/facebookresearch/habitat-lab which have a ton of open issues and code maintaince stuff that we would welcome contributions of.
- Accelerate PPO training
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Facebook AI Introduces Habitat 2.0: Next-Generation Simulation Platform Provides Faster Training For AI Agents With Tactile Perception
Github: https://github.com/facebookresearch/habitat-lab
What are some alternatives?
trax - Trax — Deep Learning with Clear Code and Speed
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
mini-cheetah-tmotor-python-can - Python Motor Driver for Mini-Cheetah based Actuators: T-Motor AK80-6/AK80-9 using SocketCAN Interface
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
carla - Open-source simulator for autonomous driving research.
habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bootcamp - Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
docarray - Represent, send, store and search multimodal data