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Vishal Vilas Shendge

is on a semester abroad.

Angestellt, Research Assistant (HiWi), Fraunhofer IGCV
Nuremberg, Deutschland

Fähigkeiten und Kenntnisse

SolidWorks
Product design
CATIA
CAD
Autodesk Inventor
AutoCAD
PTC Creo
Mechanical Engineering
ProEngineer
Technical drawing
Siemens NX
Produkt
IT-Affinität
Bauwesen
Ingenieurbau
Robot Operating System (ROS)
ROS
Python
C++
Linux
C
Reinforcement learning
PX4 Autopilot
Research and Development
Project Management
Machine Learning
Python NumPy
Ubuntu

Werdegang

Berufserfahrung von Vishal Vilas Shendge

  • Bis heute 2 Monate, seit Apr. 2025

    Master Thesis on Speech synthesis output interface for social robotics

    Fraunhofer IGCV

    • Integrate a speech synthesis system to generate spoken output • Investigate and implement methods for controlling speech synthesis using control signals. • Implement control over specific speech parameters such as speech rate, pitch and volume. • Investigate and implement methods for synthesizing speech with different emotions. • Investigate and implement methods to synchronize the robot's speech with its physical movements.

  • Bis heute 2 Monate, seit Apr. 2025

    Research Assistant (HiWi)

    Fraunhofer IGCV

    • Ensuring the functionality of the ROS bridge for the Pepper robot. • Develop remote control of movements of the Pepper robot with ROS. • To create choreographed movement sequences for the Pepper robot for typical interaction scenarios.

  • Bis heute 8 Monate, seit Okt. 2024

    Research Assistant (HiWi)

    FAPS

    • Developing robotic applications for Pepper robot using ROS (Robot Operating System). • Implementing robot control systems using C++ and Python within the ROS framework • Configuring and programming robot interactions and core functionalities from ground up

  • 10 Monate, März 2024 - Dez. 2024

    Project Thesis

    FAPS

    • Reviewed academic literature related to MDP and RL methods. • Developed an energy-efficient UAV navigation framework using Markov Decision Processes (MDPs) and Reinforcement Learning (RL). • Implemented the Deep Deterministic Policy Gradient (DDPG) algorithm for real-time control in continuous action spaces. • Achieved 33% energy savings and 24% faster mission completion in ROS2-PX4 simulations. • Focused on adaptive flight control and scalability for real-world applications.

  • 2 Jahre und 1 Monat, Nov. 2022 - Nov. 2024

    Driverless Team Member

    High Octane Motorsports e.V

    1. Built and trained YOLO object detection model for cone detection on a race track in real time video footage. 2. Develop a high-fidelity driving simulator for Formula Student Driverless Vehicles using Robot Operating Systems (ROS), Python and C++.

  • 1 Jahr und 10 Monate, Jan. 2021 - Okt. 2022

    Research and Development Engineer (Machine Learning)

    Copernican Enterprises

    1. Smart Power Management - Using machine learning algorithms, analyze rider input and terrain data to optimize motor assistance and battery usage. 2. Adaptive Cruise Control - Develop system that maintains a set speed. 3. Gather data from test rides relevant to chosen functionality. 4. Clean and prepare the data for machine learning model training.

  • 8 Monate, Nov. 2021 - Juni 2022

    Technical Inspector

    IMPERIAL SOCIETY OF INNOVATIVE ENGINEERS INDIA (ISIEINDIA)

    Technical Inspector for the final rounds of the Indian Karting Race and Formula Imperial."

  • 1 Jahr und 5 Monate, Aug. 2019 - Dez. 2020

    Mechanical Design Engineer

    Hilda Automation Pvt. Ltd

    Gather client requirements for their machine needs, including product details, container designs, required speed per minute, and other specifications. Analyze client inputs to determine the most suitable machine types for their needs. Designing and developing innovative packaging machinery solutions that integrate mechanical, electrical, and control systems using CAD software like Solid-works, AutoCAD, SolidEdge, Creo.

Ausbildung von Vishal Vilas Shendge

  • Bis heute 2 Jahre und 8 Monate, seit Okt. 2022

    Electromobility (ACES)

    FAU Erlangen-Nürnberg

    Specialization: 1. AI and Autonomous Driving 2. Sustainable Mobility and Production Technology. Key Subjects: Robotics Framework, Robotics 1, Robotics 2, Machine Learning for Engineers 1, Machine Learning for Engineers 2, Data Science Survival Skills, Electrical Energy Storage Systems.

Sprachen

  • Englisch

    Fließend

  • Hindi

    Muttersprache

  • Deutsch

    Gut

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