@robot-learning-freiburg
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robot-learning-freiburg

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  • Stars
    star
    1,205
  • Global Org. Rank 13,553 (Top 5 %)
  • Registered over 4 years ago
  • Most used languages
    Python
         82.4 %
    Jupyter Notebook
         5.9 %
    Shell
         2.9 %
    C++
         2.9 %
    CMake     2.9 %
    EmberScript     2.9 %
  • Location πŸ‡©πŸ‡ͺ Germany
  • Country Total Rank 21,251
  • Country Ranking
    EmberScript     1
    CMake     15
    Python
         234
    Jupyter Notebook
         727
    C++
         1,283
    Shell
         5,944

Top repositories

1

LCDNet

PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc
Python
159
star
2

ros_sam

ROS wrapper for Meta's Segment-Anything model
CMake
143
star
3

CL-SLAM

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. http://continual-slam.cs.uni-freiburg.de
Python
122
star
4

PanopticBEV

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. http://panoptic-bev.cs.uni-freiburg.de
Python
119
star
5

EfficientLPS

PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic
Python
92
star
6

MM-DistillNet

PyTorch code for training MM-DistillNet for multimodal knowledge distillation. http://rl.uni-freiburg.de/research/multimodal-distill
Python
58
star
7

PADLoC

LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
Python
51
star
8

CURB-SG

[ICRA 2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving
C++
46
star
9

mobile-rl

Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. http://mobile-rl.cs.uni-freiburg.de
Python
43
star
10

MoMa-LLM

Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation. Project website: http://moma-llm.cs.uni-freiburg.de
Python
37
star
11

BEVCar

[IROS2024] Camera-Radar Fusion for BEV Map and Object Segmentation
Python
33
star
12

Batch3DMOT

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
Python
31
star
13

Panoptic-Tracking

Python
25
star
14

SPINO

Few-Shot Panoptic Segmentation With Foundation Models
Python
24
star
15

CoDEPS

Continual Learning for Depth Estimation and Panoptic Segmentation
Python
24
star
16

SkyEye

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
Python
23
star
17

DynaFill

Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning
Python
22
star
18

CARTO

Official Implementation of CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
Jupyter Notebook
20
star
19

kinematic-feasibility-rl

Learning Kinematic Feasibility through Reinforcement Leanring: http://rl.uni-freiburg.de/research/kinematic-feasibility-rl
EmberScript
19
star
20

MDPCalib

Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
16
star
21

RaLF

RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps
Python
14
star
22

HIMOS

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. Project website: http://himos.cs.uni-freiburg.de
Python
13
star
23

CEILing

Python
13
star
24

Active-Particle-Filter-Networks

Official repository for Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps
Python
11
star
25

CenterGrasp

Python
10
star
26

Multi-Object-Search

Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces. http://multi-object-search.cs.uni-freiburg.de
Python
10
star
27

Dav-Nav

Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds. http://dav-nav.cs.uni-freiburg.de
Python
8
star
28

PASTEL

A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
7
star
29

amodal-panoptic

Python
6
star
30

Semantic-Search

Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation. Project Website: http://semantic-search.cs.uni-freiburg.de
Jupyter Notebook
5
star
31

TAPAS

PyTorch code for TAPAS-GMM.
4
star
32

bopt_gmm

Shell
2
star
33

bask

PyTorch code for Bayesian Scene Keypoints.
Python
2
star
34

APSNet

Python
1
star
35

rl_tasks

Python
1
star
36

PAPS

Python
1
star
37

INoD

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields.
Python
1
star