A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Updated
Nov 26, 2024 - Python
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Gibson Environments: Real-World Perception for Embodied Agents
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Deep Reinforcement Learning for Robotic Grasping from Octrees
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
A Framework for Zero-Shot Sim2Real Drone Racing
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.
BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
reinforcement learning from randomized simulations
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.
ROS2-Gazebo simulation package leveraging Mid360 and FASTLIO for navigation. Contact me (QQ): 757003373
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022
Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
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