Vivek Kumar Singh

- Led the development of custom robotic arm with kinematic modelling, electrical design and real-time motor control for precision harvesting. - Co-developed an AI vision pipeline for asparagus detection and tracking, trained on RGB-D data. - Engineered hardware-software interface for seamless vision-robotic arm coordination and developed control and harvesting strategies. - Designed platform power distribution architecture ensuring reliable operation of cameras, ML edge devices, and robotic actuators.

-Investigation of UltraWide Band multi-sensor configurations for robotic system localization. -Development and Setup of measurement test-benches on SBCs like Raspberry Pi and NUCs integrated through UDP/TCP socket connections. -Development of IMU | Camera | Odometry based various UWB sensor fusion algorithms for effective pose estimation. -Implementation of the developed fusion algorithms as ROS Nodes in C++ and Python -Designing measurement protocols for test and analysis of fusion algorithms.

- Investigation of odometry multi-sensor configuration for localization of robotic system. - Determination of the pose of the robotic lawnmower from IMU and odometry data. - Development and Validation of the implemented sensor fusion solution using test data. - Pre-development of physics-informed machine learning approach for sensor data fusion.

-Development of a state machine for a mobile robotic system. -Evaluation of various concepts and driver ICs for controlling BLDC motors. -Integration of various motor control driver ICs with different microcontroller (STM32, Atmega) platforms using PWM, I2C, UART and SPI protocols. -Hardware prototyping and firmware development for a robotic system. -Integration of RTK-GNSS sensor-unit into ROS based mobile robotic platform. -Feature testing of different LiDAR and mmWave Radar sensors.

- Worked on prototyping of an agricultural robotic system. - Development of microcontroller circuit, with software development for hardware testing. - Function development for test and analysis of CAN connection for automotive batteries.

- Worked on software function development for LiDAR sensor data storage and analysis for autonomous disaster rescue vehicles. - Function development for Geospatial analysis of point cloud data.

- Contributed to development of concepts and test cases for use in Autonomous Driving Vehicles. - Assisted in pre-development of modules for Level 2 Autonomous Driving or ADAS. - Development of functions for Java based web application, along with GUI development in JavaFx.

Research Areas: Embedded Systems, Machine Learning, Autonomous-Robotic Systems, Motion Control, Computer Vision