Name: learningLogisticsLab
Type: Organization
Bio: The learningLogisticsLab develops intelligent solutions for dextereous manipulation of robots applied to the logistics industry.
Twitter: rojas70
Location: United States of America
Blog: www.JuanRojas.net
learningLogisticsLab's Projects
Central repository for our large-scale and efficient bin-picking project. wiki will be a central repository for all aspects of this work.
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
Bundle python requirements in a catkin package via virtualenv
A modular framework for neural networks with Euclidean symmetry
This repository contains the code of the paper The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry.
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
Python3 ROS Interface with the Franka Emika Panda robot arm. Includes support for OpenAI Gym based interfaces.
RAD: Reinforcement Learning with Augmented Data
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Benchmarking Repository for robosuite + SAC
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
This GitHub repository contains MATLAB and Simulink utilities and templates to get started developing algorithms for the RoboCup Virtual Robot Manipulation Challenge. The templates include how to control the simulated robot in Gazebo using ROS and how to obtain data from the available robot sensors to be used in perception algorithms.