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Hi there, I'm Siddarth Dayasagar 👋

🚀 Robotics Engineer | 🤖 ROS Enthusiast | ⚙️ Enthusiastic learner and awesome team player

I am a dedicated robotics engineer focusing on developing intelligent systems for autonomous robots. With expertise in ROS1 and ROS2, computer vision, and motion planning, I bring a well-rounded approach to robotic system design and implementation. Currently, I am pursuing my Master’s in Robotics at Northeastern University.

In previous roles as a Robotics Intern at Flomobility and Strider Robotics, I gained extensive experience in building production-level robotic systems, contributing to real-world, scalable solutions. These opportunities enhanced my understanding of end-to-end robotics development, from concept through deployment. If you seek a skilled and collaborative robotics engineer to contribute to innovative projects, feel free to connect with me!



🧑‍💻 About Me

  • 🔭 I’m currently working on RUSTY:A WAREHOUSE SERVICE ROBOT.

  • 🌱 I’m learning MOBILE ROBOTICS and MOTION AND CONTROL.

  • 💬 Ask me about ROS2, VISUAL ODOMETRY, and Autonomous Systems also Sensor Fusion.

  • ⚡ Fun fact: You will never get bored of building robots for a living!


🚀 Featured Projects

Here are some of my exciting projects in robotics and automation:

  • 🤖 DITTO: A OUTDOOR DELIVERY ROBOT: Ditto is a level 2 autonomous delivery robot that uses a QR code-based authentication fail-proof locking system and an onboard OAK-D lite camera for perception. This robot can be used in gated communities and huge colleges or universities.

    • Tech: ROS1 Noetic, OAK-D lite depth camera, Rack and pinion-based package securing system.
    • Video Repo: Ditto working in realtime
  • 🚗 RUSTY: Rusty, is a "picking assist AMR", the robots travel to pick locations, where operators deliver goods based on the robot’s needs. This consists of ROS navigation stack which uses Lidar for both

    • Tech: ROS1, ROSnav_stack, C++, Python
    • GitHub Repo: RUSTY
  • 🛒 S-MART: Amazon fresh dash cart emulator with custom trained AI-model (yolov4) with 12 different retail products, which enables the user to do self hassle-free checkout.


🛠️ Tools & Technologies

  • Programming Languages: Python, C++, C
  • Robotics Frameworks: ROS 1/ROS 2, MoveIt, Gazebo Classic and Gazebo Harmonic (basics)
  • Embedded Systems: Arduino, Raspberry Pi

📊 GitHub Stats

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🚀 Looking forward to collaborating on exciting projects! Reach Out to me by clicking on either of the links below

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