Sanjeev Kumar

AI Researcher

Stuttgart, Baden-Württemberg, Germany7 yrs 8 mos experience

Highly Stable

Key Highlights

Master's in Robotics from RWTH Aachen.
Developed a ROS2-based perception pipeline.
Designed a prototype ventilator for COVID-19.

Stackforce AI infers this person is a Robotics Engineer with expertise in computer vision and machine learning applications.

Contact

Skills

Core Skills

Computer VisionRobotics SimulationSoftware Development

Other Skills

3D Computer VisionAutomotiveC++CATIAEngineeringGitLOTUS SUSPENSION ANALYSERLeadershipLinuxMOVEitMachine LearningMechanical EngineeringMicrosoft OfficeMicrosoft WordNvidia Isaac Sim

About

Thanks for visiting my LinkedIn profile. I have graduated with a master's in Robotics from RWTH Aachen. Over my study period, I worked in the field of robotic arm manipulation. I have explored and worked in different areas of robotics, started with solving robotic kinematics tasks and later on worked simulating physics of robotic systems using different physics simulators. I have used computer vision methods to enhance the decision-making capabilities of robotic arms. In my recent working student position at Fraunhofer IPA, I worked under Jochen Lindermayr supervision directly on a client project to solve the 6D object pose estimation of a table-top object using camera images and LiDAR data, and I created a ROS2-based end-to-end perception pipeline. Before working at Fraunhofer IPA, I spent a year at the Bosch Research Center in Renningen for my internship and master's thesis. I worked in the Artificial Intelligence for Robotics (AIR) group under the guidance of Dr. Robert Krug. During my internship, I worked on the simulation of robotic systems and explored IsaacSim. I wrote my master's thesis in the area of computer vision for a robotics use case. My thesis focused on utilizing sparse keypoints to accurately estimate the 6D pose of deformable or semi-rigid objects for grasping using a multiview camera setup.

Experience

Fraunhofer ipa

2 roles

Wissenschaftlicher mitarbeiter

May 2025 – Present · 10 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Focus area: Mobile Manipulation

Wissenschaftliche Hilfskraft

May 2024 – Mar 2025 · 10 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Machine Tending Application: Vision-based 6D pose estimation of table-top static object.

Bosch center for artificial intelligence (bcai)

2 roles

Master Thesis Student

Nov 2023 – May 2024 · 6 mos · Renningen, Baden-Württemberg, Germany · On-site

Self Supervised Multiview Keypoints Learning for robotic manipulation.

Computer VisionPyTorch3D Computer VisionRobot Operating System (ROS)

Intern

Apr 2023 – Sep 2023 · 5 mos · Renningen, Baden-Württemberg, Germany · On-site

In my internship, I have explored Isaac Sim robotics simulator. Throughout this internship, I have used this physics based simulator to study its capabilities for robotic manipulation with focus on Franka Panda and UR5e Robot. Also evaluated isaac sim capabilities for simulating physics of flexible cables.

Nvidia Isaac SimPython (Programming Language)Robot Operating System (ROS)Object-Oriented Programming (OOP)URDFRobotics Simulation

German center for neurodegenerative diseases (dzne)

Wissenschaftliche Hilfskraft

Jun 2022 – Mar 2023 · 9 mos · Bonn, North Rhine-Westphalia, Germany · Hybrid

In this role, I was responsible for developing interactive GUI in form of plugins that enabled end users to browse, annotate, and analyze large multi-dimensional images.

Python (Programming Language)LinuxMachine LearningComputer VisionSoftware Development

Hero motocorp ltd

2 roles

Assistant Manager

Promoted

Jul 2019 – Jul 2021 · 2 yrs

Machine Development + Assembly Line Development for New Models + Existing Infra capacity Expansion
Two Wheeler Fuel Tank Leak Testing Process Development:
Introduced the new dry leak testing process for BS-VI compliant fuel tanks.
Designed and developed the sealing adapter required for testing.
Evaluated the different leak testing controllers ranging from PID based to simple DP sensor based.
Capacity Expansion
Greenfield Expansion: Participated in planning, ordering, erection and commissioning related
activities of engine assembly, frame assembly and final inspection area infrastructure at Hero
Motocorp Chittoor plant.
Brownfield Expansion: Led the erection and commissioning activities in the capacity expansion of vehicle assembly and final inspection areas at Hero Motocorp Halol manufacturing facility.
Digitalization/Industry 4.0:
Deployed machines with standardized architecture for centralized data collection at Hero
Motocorp Chittoor Plant.
Emergency Use Ventilator (Research Based Project for COVID-19 Support)
Designed and developed a prototype of low cost, blower based emergency use ventilator using the ATMEGA 2560 based microcontroller and other off the shelf components.
Used PID based control loop system for integrating different ventilation modes.

Graduate Engineering Trainee

Jul 2018 – Jul 2019 · 1 yr

Project Engineering - Assembly Development

Baja saeindia

Participant

Jan 2015 – May 2018 · 3 yrs 4 mos · Indore, Madhya Pradesh, India

The BAJA SAE Series is an event for undergraduate engineering students, organized globally by the Society of Automotive Engineers, USA. The event has spanned across six countries-USA, Mexico, South Africa, Korea, Brazil, and India. In India, it is organized in collaboration with Mahindra & Mahindra. The BAJA SAE tasks team of students with designing, fabrication, and validation of a single-seater four-wheeled off-road vehicle, as per the released rulebook to take part in a series of dynamic & static events held for 4 days.