Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
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"
InternVLA-A1: Unifying Understanding, Generation, and Action for Robotic Manipulation
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
[RSS 2026] Code for RISE: Self-Improving Robot Policy with Compositional World Model
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
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).
A modular, real-time controller library for Franka Emika Panda robots
[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/
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