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@karthikuser5

Robotics engineer focused on ROS 2 autonomous navigation and control automation for GPS-denied indoor spaces.

India
Message

What I'm looking for

I’m looking for fresh positions in robotics engineering and control automation engineering, where I can build ROS 2-based autonomous navigation, sensor-fusion perception, and reliable control in GPS-denied indoor environments.

I’m a fresh Electronics and Communication Engineering graduate with 1 year of internship experience in robotics research at Technology Innovation Hub, IIT Tirupati. I specialize in building practical autonomous navigation systems—using ROS 2 (Humble), NAV2, SLAM, and multi-sensor fusion—so robots can operate with minimal human involvement in unstructured indoor environments.

During my Robotics Intern role, I designed full-autonomous indoor navigation workflows with dynamic motion planning and obstacle avoidance, and I deployed LiDAR 2D plus RGB-D sensing (Intel RealSense) to improve localization and mapping accuracy. I also validated algorithms through simulation (Gazebo, Cartographer/GMapping) before hardware integration, and I connected perception to action via ROS 2 nodes and PyTorch inferencing pipelines.

Experience

Work history, roles, and key accomplishments

TT

Robotics Intern

Technology Innovation Hub (TIH), IIT Tirupati

Jun 2025 - May 2026 (11 months)

Designed fully autonomous indoor navigation systems using ROS 2 Humble and NAV2, including dynamic motion planning and obstacle avoidance. Deployed RGB-D (Intel RealSense) and 2D LiDAR sensors for mapping and sensor fusion localization, and implemented SLAM simulation in Gazebo and UART/I2C-based communication modules.

Education

Degrees, certifications, and relevant coursework

NC

Narayana Engineering College

Bachelor of Technology (B.Tech), Electronics and Communication Engineering

2022 - 2026

Grade: CGPA: 8.6 / 10

Pursuing a B.Tech in Electronics and Communication Engineering (CGPA: 8.6/10).

NC

Narayana Junior College

Class XII

2021 -

Grade: 94.6%

Completed Class XII with 94.6% marks.

Tech stack

Software and tools used professionally

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