MIST Laboratory (@MISTLab)

Top repositories

1

Swarm-SLAM

Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems
385
star
2

DOOR-SLAM

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Dockerfile
221
star
3

Intensity_based_LiDAR_SLAM

Real-Time Simultaneous Localization and Mapping with LiDAR intensity
C++
120
star
4

VIR-SLAM

Repository for project VIR-SLAM, Visual, Inertial, and Ranging SLAM for Single and Multi-Robot Systems
C++
50
star
5

RangeTracker

Accurate position tracking with a single UWB anchor
Python
35
star
6

ROSBuzz

Buzz as a ROS package
C++
32
star
7

vpr-calibration-and-uncertainty

24
star
8

XbeeMav

C++
16
star
9

tls-python-object

tlspyo - secure transfer of python objects over network
Python
15
star
10

of-obstacledetection

FlowDroNet - Training a CNN for Obstacle Detection via Simulated Optical Flow Collision Data
Python
12
star
11

event_based_rgbd_ros

Event-based RGBD ROS Wrapper
C++
8
star
12

SwarmRelays

Distributed Self-Healing Ground-and-Air Connectivity Chains
C
7
star
13

CAPRICORN

Python
6
star
14

Distributed_TDMA

This reposotory is for a project about Distributed TDMA for Mobile UWB Network Localization
Python
6
star
15

DOVESEI

ROS 2 safe-landing using open vocabulary models
Python
5
star
16

Cluster-based-Penalty-Scaling

4
star
17

trap-gen

Automatically exported from code.google.com/p/trap-gen
Python
3
star
18

PEACE

Automatic Prompt Generation for Safe-Landing Zone Detection (DOVESEI)
Python
3
star
19

lidar_dynamic_objects_detection

Real-Time Dynamic Object Detection and Tracking with LiDAR for Autonomous Robotics
3
star
20

morfin

MISTLab Orbital Radiation Fault INjector
Python
2
star
21

resp-sim

Automatically exported from code.google.com/p/resp-sim
C++
2
star
22

Buzz_Examples

Contains Buzz implementation of common swarm behaviors
1
star
23

swarm-explorer

Dockerfile
1
star
24

NotebookTutorial

Jupyter Notebook
1
star
25

event_based_data

Collected events/frames with event-based cameras.
1
star