stanford-iprl-lab/ao-grasp stanford-iprl-lab/ao-grasp

  • Stars
    star
    10
  • Rank 1,797,948 (Top 36 %)
  • Language
    Python
  • Created 11 months ago
  • Updated 2 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
stanford-iprl-lab/ao-grasp
github

stanford-iprl-lab

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

torchfilter

Bayesian filters in PyTorch
Python
146
star
2

multimodal_representation

Python
81
star
3

UniGrasp

Implementation of " UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands"
Python
63
star
4

GRAC

implementation of our self-guided and self-regularized actor-critic algorithm
Python
30
star
5

sceneflownet

Motion-based Object Segmentation based on Dense RGB-D Scene Flow
Python
25
star
6

Concept2Robot

simulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"
Python
24
star
7

nerf_shared

A object-oriented, minimalistic PyTorch implementation of NeRF (Neural Radiance Fields).
Python
11
star
8

franka-panda-iprl

IPRL's Franka Panda Driver and Operational Space Controller
6
star
9

ScaffoldLearning

Simulation Environments in "Learning to Scaffold the Development of Robotic Manipulation Skills"
Python
6
star
10

coding-practices-tutorial

Tips for writing readable and maintainable code
JavaScript
4
star
11

zeddy

C++
1
star