Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
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Updated
May 11, 2021 - Python
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"
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
Manipulating Python Programs
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.
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
Text normalization library for Python
Advanced Hash Manipulation
A modular, real-time controller library for Franka Emika Panda robots
[arXiv] D^3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation
Hierarchical Universal Language Conditioned Policies
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
[ICRA 2024] Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models
Pytorch code for ICRA 2022 Paper StructFormer
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