Job Title: Robotics Intern

Company: Muks Robotics AI Pvt. Ltd.

Website: https://muksrobotics.com/

Location: Baner, Pune

Duration: 6 Months

Experience: 0-1 Year

About the Role :

Muks Robotics AI Pvt. Ltd. is seeking a motivated Robotics Intern with interest and hands-on exposure in both robotic hardware systems and ROS-based software development. This role provides a balanced experience across embedded electronics, sensor integration, ROS1/ROS2 software, SLAM, navigation, and autonomous robotic systems. You will work directly on real robots - building, wiring, testing, and deploying full robotic pipelines - from perception and control to navigation and system integration.

Key Responsibilities:

1. ROS Development (Software & System Integration)

    • Develop, test, and deploy robotic applications using ROS1 and ROS2.

    • Work with ROS navigation and mapping frameworks:

        ◦ SLAM (Cartographer, RTAB-Map, Hector SLAM)

        ◦ Navigation stacks (ROS Nav2 / AMCL / Move Base)

    • Create and manage ROS packages, nodes, launch files, and URDF/Xacro robot descriptions.

    • Utilize tools such as rviz, rqt, rosbag, TF2, and Gazebo for debugging and simulation.

2. Embedded Systems & Electronics (Hands-On Hardware Work)

    • Develop firmware for Arduino, STM32, Raspberry Pi, and similar microcontrollers.

    • Interface and calibrate hardware modules and sensors.

    • Work with motor drivers and actuators including DC motors, BLDC motors, stepper motors, and servo motors

    • Implement and troubleshoot communication protocols UART, I2C, SPI, RS485, CAN (bonus)

    • Perform wiring, assembly, soldering, circuit testing, and debugging on physical robot platforms.

3. Sensor Integration & Perception

    • Integrate and configure sensors such as 2D/3D Lidar, IMU, wheel encoders, ultrasonic sensors, depth cameras

    • Work on sensor fusion concepts (IMU + encoder).

    • Contribute to perception pipelines for Obstacle detection, Environment mapping and Localization.

4. SLAM, Navigation & Autonomy

    • Assist in implementing mapping, path planning, and localization algorithms.

    • Tune navigation parameters for smooth autonomous movement.

    • Perform real-world tests to validate mapping, obstacle avoidance, and robot behavior.

    • Analyze logs, debug issues, and optimize the robot’s autonomous performance.

5. Testing, Debugging & Deployment

    • Conduct hardware and software tests on robot prototypes.

    • Diagnose performance issues in sensors, control systems, or ROS nodes.

    • Help integrate end-to-end robotic systems in field tests and client demos.

Required Skills & Qualifications:

    • Bachelor's degree in Robotics & Automation or related field.

    • Basic understanding of ROS1/ROS2 (projects, coursework, or hands-on experience).

    • Familiarity with Python, C, and C++ for embedded and robotics programming.

    • Knowledge of microcontrollers such as Arduino, STM32, Raspberry Pi.

    • Understanding of motor control, drivers, and robotics controllers.

    • Basics of SLAM, navigation, and localization.

    • Exposure to sensors like Lidar, encoders, IMU, and depth cameras.

    • Working knowledge of electronics fundamentals (wiring, voltage levels, circuits).

Good to Have (Preferred):

    • Experience with the ROS2 Navigation2 stack.

    • Simulation tools: Gazebo, RViz, Webots, Isaac Sim.

    • Understanding of TF frames, kinematics, and URDF modeling.

    • Basic AI/ML concepts for robotics (optional).

Soft Skills:

    • Strong analytical and problem-solving mindset.

    • Hands-on approach and willingness to work on hardware.

    • Ability to collaborate with cross-functional teams.

    • Eagerness to learn and explore advanced robotics concepts.

What We Offer:

    • Opportunity to work on live robotics systems and real-world deployments.

    • Mentorship from experienced robotics, embedded, and ROS engineers.

    • Exposure to full-stack robotics development - electronics, software, perception, autonomy.

    • A collaborative, innovative, and growth-driven environment.

    • Potential full-time opportunity based on performance.