Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
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Updated
May 10, 2024 - C#
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
Study guides for MIT's 15.003 Data Science Tools
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
BruteSploit is a collection of method for automated Generate, Bruteforce and Manipulation wordlist with interactive shell. That can be used during a penetration test to enumerate and maybe can be used in CTF for manipulation,combine,transform and permutation some words or file text :p
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
PyBullet Planning
A Fast & Light Virtual DOM Alternative
a command line tool for URL parsing and manipulation.
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manipulation)
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
CLIPort: What and Where Pathways for Robotic Manipulation
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
C++ library and set of utilities for input, output, and basic manipulation of 3D triangle meshes
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
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