Kaushal Atul Sorte

Software Engineer

Pittsburgh, Pennsylvania, United States1 yr 4 mos experience

Key Highlights

  • Expert in developing SLAM algorithms for autonomous navigation.
  • Proficient in ROS 2 and C++ for robotics applications.
  • Strong background in sensor fusion and localization techniques.
Stackforce AI infers this person is a Robotics Engineer specializing in autonomous navigation and sensor fusion technologies.

Contact

Skills

Core Skills

SlamRobot LocalizationRos 2

Other Skills

Perception AlgorithmsLIDAR SLAMC++Nav2GNSSIMUWheel OdometryKalman FiltersBehavior TreesAPIsBundle Adjustment3D ReconstructionVisual SLAMComputer VisionGTSAM

About

I am a roboticist fervently focused on advancing mobile platform autonomy and resilience. I am enthusiastic about crafting algorithms for autonomous localization, planning, and navigation in challenging terrains. Proficient in ROS 2, Nav2, C++, and Python, I seek to continually push the boundaries of reliable robot navigation. I am currently seeking a robotics software engineer position and look forward to any upcoming opportunities. Following are my key areas of expertise: - GNSS Guided Navigation and Sensor Fusion. - ROS and ROS 2. - Nav2 - C++ - Gazebo Ignition - SLAM and Motion Planning. I welcome the opportunity to collaborate on innovative projects. Feel free to connect with me at sorte.k@northeastern.edu or kaushalsorte08@gmail.com

Experience

1 yr 4 mos
Total Experience
1 yr 4 mos
Average Tenure
1 yr 4 mos
Current Experience

Mine vision systems

Robotics Software Engineer

Jan 2025Present · 1 yr 4 mos · Pittsburgh, Pennsylvania, United States · On-site

  • I work on perception algorithms contributing to LIDAR SLAM in underground mining applications.
Perception AlgorithmsLIDAR SLAMSLAMRobot Localization

Trossen robotics

Robotics Software Engineer

Jun 2023May 2024 · 11 mos · Downers Grove, Illinois, United States · On-site

  • As a Robotics Software Developer Intern at Trossen Robotics, my chief contribution was prototyping, ideating, implementing and testing autonomous navigation pipelines for UGV platforms with robust C++ software using ROS 2 and Nav2. Additionally comprehensive testing mechanisms were designed and developed for unit testing and system across software and hardware, coupled with high fidelity simulations in Gazebo.
  • Two main aspects of my work were: Localization, and Navigation
  • Localization:
  • I worked on creating accurate localization fusing together GNSS, IMU and wheel odometry Extended Kalman Filters to achieve cm accuracy. Additionally, I designed localization watch dogs that constantly monitor the quality of localization, serving as additional safety net for navigation. This module was supplemented with additional APIs to faciliate efficient interaction between user and robot.
  • Navigation:
  • I implemented two high level ensuring point to point navigation and mission handling at speeds upto 1.5 m/s using ROS 2. These modules have comprehensive APIs giving user control to various levels of navigation, from point-to-point to mission management.
  • Navigation behaviors were enforced using custom Behavior Trees. Navigation monitoring application in ROS 2 was an important aspect of the range of APIs created for the user. This application monitored the behavior trees for progress, completion and anomalies and reported the status to the user.
ROS 2Robot LocalizationC++Nav2GNSSIMU+4

Indian institute of technology, kharagpur

Research Intern

May 2021Oct 2021 · 5 mos · Pune

  • 1) Incompressible flows in the square and polar lid-driven cavities were simulated in OpenFoam 7 and verified with established research papers.
  • 2) In square cavities, separation points of primary, secondary and tertiary vortices were calculated using velocity gradient data from the simulations. Actual points where the gradients become zero along the walls were located using Matlab.
  • 3) For fluid flows in polar cavities, Cartesian governing equations were solved, and cylindrical velocity components were obtained in ParaFoam ( OpenFoam's postprocessing software) by creating a custom filter.
  • 4) Forced Convection in a square lid-driven cavity was also simulated. The existing icoFoam solver was modified to include a Temperature field.

Education

Northeastern University

Master's degree

Sep 2022Dec 2024

Visvesvaraya National Institute of Technology (VNIT), Nagpur

BTech - Bachelor of Technology — Mechanical Engineering

Jul 2018May 2022

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