[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation
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Updated
May 29, 2024 - Python
[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation
reinforcement learning from randomized simulations
Project Page (ObjectDR)
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Machine Learining and Deep Learing algorithms for electronic components detection. Master thesis project. Msc Data Science and Engineering at Polito.
A synthetic data generator for retail object detection, which is built with Blender and Python.
Using Blender and Python to generate synthetic data for training an 8-class YOLOv5 detector in a highway driving scenario (Sedan, SUV, Van, Truck, Bus, Warning Sign, Speed Limit Sign, Speed Cam Sign).
SynthDet - An end-to-end object detection pipeline using synthetic data
Perception toolkit for sim2real training and validation in Unity
Automatic Domain Randomization (ADR) proposed in "Solving Rubik's Cube with a Robot Hand"
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…
Deep Reinforcement Learning for Robotic Grasping from Octrees
Online vs. Offline Adaptive Domain Randomization Benchmark
Development of an image-based autonomous driving system for an e-FSAE.
Synthetic dataset generation for vision-based prosthetic grasping
Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
Augmentation of event-based machine learning dataset for image segmentation using noise injection
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