Stanford Interactive Perception and Robot Learning Lab (@stanford-iprl-lab)
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stanford-iprl-lab

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  • Stars
    star
    410
  • Global Org. Rank 26,909 (Top 9 %)
  • Registered almost 7 years ago
  • Most used languages
    Python
         81.8 %
    C++
         9.1 %
    JavaScript
         9.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 19,302
  • Country Ranking
    Python
         3,176

Top 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

ao-grasp

Python
10
star
9

franka-panda-iprl

IPRL's Franka Panda Driver and Operational Space Controller
6
star
10

ScaffoldLearning

Simulation Environments in "Learning to Scaffold the Development of Robotic Manipulation Skills"
Python
6
star
11

coding-practices-tutorial

Tips for writing readable and maintainable code
JavaScript
4
star
12

zeddy

C++
1
star