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

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic 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.

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

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.

Support-level ROS Packages for Interbotix Robots

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Polymorph is a real-time network packet manipulation framework with support for almost all existing protocols

Advanced Hash Manipulation

A modular, real-time controller library for Franka Emika Panda robots

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration

Manipulating Python Programs

An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).

Text normalization library for Python

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

Codebase for the BestMan Mobile Manipulator Platform

[IROS 2024] 📈 RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective