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

Manipulating Python Programs

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

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

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

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

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

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

[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.

Codebase for the BestMan Mobile Manipulator Platform

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

Text normalization library for Python

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

Advanced Hash Manipulation

[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

[CoRL 24 Oral] D^3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement

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

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