Manish S

About

Embedded systems and IoT engineer with hands-on experience in robotics, sensor fusion, computer vision, and digital twin development. Currently researching real-time embedded perception stacks on Jetson Nano with LiDAR, depth camera, and ESP32-based IoT sensor nodes.

Experience

• Research Intern — Embedded Systems, IoT & Digital Twin
  IIIT Dharwad
  2026 – Present

  Working on embedded and IoT-focused robotic perception research, integrating a Livox Mid-360 3D LiDAR and Intel RealSense D455 depth camera on an NVIDIA Jetson Nano edge platform for real-time environment sensing. Developing a real-time Digital Twin of the robotic perception platform, building embedded sensor drivers and data pipelines, designing camera-LiDAR fusion pipelines, prototyping ESP32-based IoT sensor nodes, and collaborating on hardware-software system integration and testing.

Education

• B.E.
  GM Institute of Technology
  Robotics & Automation Engineering · 2023 – 2027
• Pre-University
  Devika PU Science College
  Science · 2020 – 2022

Skills

Tools / apps / platforms

Languages

Projects

• e-Yantra Robotics Competition — IIT Bombay (KrishiCobot)
  ROS2, Gazebo, RViz, UR5, LiDAR

  Built an autonomous agricultural navigation and sorting system with ROS2 simulation, LiDAR-based detection, and UR5 pick-and-place automation.

• RoboDog — Autonomous Quadrupedal Robot
  Arduino Nano, MG995 Servos, Ultrasonic Sensor, LiPo Battery

  Developed an 8-DOF quadruped robot with ultrasonic obstacle avoidance and modular embedded servo-control architecture.

• Humanoid Robotic Arm — 5-DOF Pick & Place
  MG995 Servos, Raspberry Pi 4, Camera Module, ArUco, Inverse Kinematics

  Designed a 5-DOF robotic arm with visual pick-and-place control using ArUco marker detection and closed-loop motion.

• Multi-Robot Swarm — Pick & Delivery System
  Python, Raspberry Pi 4, Pi Camera Module, DC Drive, ArUco, IoT Inter-Robot Networking

  Built a 3-robot swarm using two Raspberry Pi 4 units and Pi Camera modules for ArUco-based localization, path recognition, and wireless inter-robot task handoffs.

🏆 Achievements & awards

• Top 50 Globally — IIT Bombay E-Yantra KrishiCobot Competition

  Led autonomous navigation design for an agricultural robot in a team of 4, competing against 1,000+ teams worldwide.

• 1st Prize — Robo Race, UBDT College of Engineering

  Won a robotics race competition; also noted 6 inter-college Robo Race wins across Karnataka.

• Top 10 — 12-Hour Hackathon, SIT Tumkur

  Placed in the top 10 in a 12-hour hackathon.

📚 Publications

• Design and Development of a Low-Cost Quadrupedal Robo Dog Using Arduino Nano, Servo Motor and Ultrasonic Sensor · 2026