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Hi there 👋

I am a PhD candidate in the Autonomous Robots Lab (ARL) at the Norwegian University of Science and Technology (NTNU). Though I mostly work in SLAM, I dabble in other aspects of robotics as well.

Nikhil Khedekar's Projects

caesar.jl icon caesar.jl

Robust robotic localization and mapping for all, together with www.NavAbility.io

calculator2 icon calculator2

A basic calculator app for Lab 2 of Software Development for Portable Devices (CS-F314)

compass2 icon compass2

A basic compass app for Lab 3 of Software Development for Portable Devices (CS-F314)

docker-for-robotics icon docker-for-robotics

Collection of best practices when working with Docker/Docker-Compose and the Robot Operating System (ROS/ROS 2) in simulation as well as with real-hardware with real-time requirements

gbplanner_ros icon gbplanner_ros

Graph-based Exploration Planner for Subterranean Environments

jderobot-challenges icon jderobot-challenges

This repository contains my solutions to the JDERobot Challenges for the GSoC 2019 Application

kalibr icon kalibr

The Kalibr visual-inertial calibration toolbox

lio-sam icon lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

motion_planners icon motion_planners

A ROS package with python implementations of a few common planning algorithms

offb_py icon offb_py

Python implementation of the offboard example at https://dev.px4.io/en/ros/mavros_offboard.html

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

pcl icon pcl

Point Cloud Library (PCL)

perception_open3d icon perception_open3d

Open3D analog to perception_pcl, containing conversion functions from Open3D to/from ROS types

rc_cloud_accumulator icon rc_cloud_accumulator

A demonstration project for assembling registered point clouds with the rc_visard and ROS

ros-utm-lla icon ros-utm-lla

This is a ros package for converting coordinates between LLA (latitude, longitude and altitude coordinate system) and UTM coordinate system (X,Y,Z in meters).

small_gicp icon small_gicp

Efficient and parallel algorithms for point cloud registration [C++, Python]

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