Discover indraneelpatil/bottleneck_guided

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19
Rank 1,163,249 (Top 23 %)
Language
C++
Created over 5 years ago
Updated over 1 year ago

indraneelpatil

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This project consists of C++ implementations of a 3D Rapidly Exploring Random Tree and three other extensions called RRT*, Execution Extended RRT and Synchronised Greedy Biased RRT. It also includes a heuristically guided RRT* with biased sampling towards relevant bottleneck points predicted by a 3D CNN(modified VoxNet in Tensorflow).

3D-Weld-Seam-Tracking-using-PCL

In this project we have used the Point Cloud Library/ Depth Image Processing and a 5 axis robotic manipulator to implement multiple systems like hand tracking, autonomous grasping and 3D Weld Seam tracking

C++

GraphPlanning

Global planning for robotics based on graph search algorithms

C++

Team-MAVERICK-Autonomous-Systems

A ROS based autonomous self driving car capable of teleop_control, lane following, obstacle detection and rtabmapping the environment in real time

Python

motion-planning-roadmap

Roadmap of areas of study in motion planning

mapf-roadmap