Projects

Robotics research, embedded systems, and cyber-physical builds.

Work across surgical-navigation robotics, multimodal mobile robots, ROS2 teleoperation, embedded control, sensor-actuator platforms, and automation.

Ground mobility test of the multimodal robot

2024 - 2025 | Research Assistant, IISc Bangalore

Multimodal Mobile Robot

Autonomous multimodal robot for inspection and surveillance in constrained environments, combining bio-inspired mechanisms, distributed embedded control, perception, and ROS2 teleoperation.

  • Simulated robot mechanisms in SolidWorks Motion Analysis to estimate torque, force profiles, and component requirements.
  • Designed a distributed embedded architecture where local microcontrollers handle mechanisms and a Jetson board coordinates system-level control.
  • Implemented CAN communication between microcontrollers and the main compute board for real-time coordination.
  • Built ROS2 WiFi teleoperation workflows for remote testing and field-oriented validation.
ROS2Jetson NanoIntel RealSenseSolidWorksPythonC++
Forward pipe traversal testReverse pipe traversal testRolling mode prototype test
ACPS sensor-actuator node hardware

2022 - 2024 | Junior Research Fellow, NITK Surathkal

ACPS Lab Platform

Lab-scale applied cyber-physical systems platform for education and research, with sensor-actuator nodes, edge-fog-cloud architecture, and real-time data acquisition.

  • Developed ARM-based sensor-actuator nodes for real-time acquisition and control experiments.
  • Integrated edge, fog, and cloud layers to demonstrate cyber-physical system interactions.
  • Created hands-on learning workflows for embedded systems, communication protocols, and system integration.
  • Presented the work at the 11th ISSS National Conference.
STM32ESP32MQTTPythonWeb Technologies
ACPS cloud dashboard interfaceImplemented ACPS architecture diagram

2025 - Present | Robotics Lead, Capla India

Surgical-Navigation Robotics at CAPLA

Robotic cranial and spine surgical-navigation systems combining collaborative-robot motion control, optical instrument tracking, and image-to-patient registration in C++/Qt/QML on Linux/Jetson platforms.

  • Lead development of robotic cranial and spine surgical-navigation systems on Linux/Jetson platforms.
  • Integrate hand-eye calibration, optical instrument tracking, image-to-patient registration, and collaborative-robot (DENSO, Huayan Elfin) motion control.
  • Design staged, IK-verified screw-trajectory alignment with safety-critical motion control: keep-out gating, a fail-closed patient-motion watchdog, and arrival verification.
  • Deliver a host-agnostic robot simulation sandbox for development and validation.
C++Qt/QMLEmbedded LinuxNVIDIA JetsonCollaborative robotsOptical tracking
Smart city autonomous bot demonstration

2019

Smart City Project

IoT-driven smart city model for autonomous resource management, localization, path planning, and infrastructure automation.

  • Implemented MQTT communication between a central server and autonomous bots.
  • Built an OpenCV ArUco marker pipeline for real-time localization in a city-grid environment.
  • Implemented Dijkstra-based path planning for dynamic shortest-path navigation.
  • Integrated I2C, serial communication, and MySQL-backed sensor data handling.
PythonArduinoRaspberry PiMQTTOpenCV
Smart city prototype modelSmart city system architecture
Completed home assistance hardware prototype

2018 - 2019

Home Assistance System

Voice-controlled smart home system designed to improve accessibility for disabled and visually impaired users through remote control, monitoring, and automated alerts.

  • Developed a Django web interface for centralized home automation control.
  • Integrated a GSM module and ESP8266 connectivity for remote device control.
  • Implemented browser-based voice command support for hands-free operation.
  • Added fire, gas, smoke, temperature, and humidity monitoring for real-time safety alerts.
Raspberry PiGSMPythonDjangoESP8266
Home assistance web application interfaceHome assistance system overview