VGG19 and Other Networks for Scene Classification
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Updated
Mar 17, 2021 - Jupyter Notebook
VGG19 and Other Networks for Scene Classification
Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning, ICRA 2021
A Gazebo simulator for the Franka Emika Panda robot with ROS interface, supporting sim-to-real code transfer (Python). Exposes customisable controllers and state feedback from robot in simulation.
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
Implementation of hybrid and monolithic DDPG controllers for obstacle avoidance and reaching task of Panda robot
[CVPR'22] CrossLoc benchmark datasets setup and helper scripts.
This repository contains the source code of our paper: Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.
[CVPR'22] CrossLoc localization: a cross-modal visual representation learning method for absolute localization
Implementation of Reinforcement Learning Based Autonmous Control of a TurtleBot2 as a substitute for a Formula SAE Car
Code for paper on ICRA 2022 workshop on Deformable Object Manipulation. In this work we learn keypoints from synthetic data for robotic cloth folding.
[CVPR'22] TOPO-DataGen: an open and scalable aerial synthetic data generation workflow
🗺🤖🚘🕹📡 An effective, easy-to-implement, and low-cost modular framework for completing complex navigation tasks.
Simulator, RL-algorithm and firmware for the sim-to-real transfer of drone control policies
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Sim-to-Real Distribution-Aligned Dataset (S2R-DAD) for Domain Shift and Domain Adaptation Analysis
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning, Project Page: https://leizhang-public.github.io/towards_precise_model_free_robotic_grasping_with_sim_to_real_transfer_learning/
The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest yo…
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
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