TEEP Research Intern · Chang Gung University, Taiwan
Undergraduate AI & Robotics Researcher · B.Tech (Artificial Intelligence & Data Science)
Shiv Kumar Gupta
Exploring autonomous mobile robotics, computer vision, and learning-based navigation.
How can a mobile robot understand a changing environment and navigate around dynamic obstacles? My research explores how perception and learning can help robots make informed navigation decisions.
As an undergraduate researcher at Sri Eshwar College of Engineering and a TEEP Research Intern at Chang Gung University, I am developing my experience across robotics, computer vision, ROS, and deep reinforcement learning.
My current research direction investigates perception-guided mobile navigation and dynamic obstacle avoidance. I am interested in translating sound technical ideas into practical, carefully evaluated robotic systems.
About me
Curiosity, research, and building things.
Research intern
TEEP Research Internship
Chang Gung University · Taiwan
Undergraduate researcher
B.Tech · Artificial Intelligence & Data Science
Sri Eshwar College of Engineering · India
My interest in research comes from wanting to understand how intelligent systems perceive their surroundings, learn from experience, and act under uncertainty. I am particularly drawn to the challenge of making autonomous robots useful in environments that change over time.
Through my AI & Data Science studies and research internship, I am building practical experience in robotics, computer vision, and software systems. I value careful experimentation, clear documentation, and honest reporting of what a prototype can—and cannot—do.
I hope to grow into a researcher who connects strong technical foundations with responsible applications, and who contributes to intelligent systems that are dependable, understandable, and useful outside the lab.
Research philosophy
“I want to build intelligent systems that can perceive, reason, and adapt to the real world—grounded in careful research, transparent about their limits, and designed with meaningful impact in mind.”
Core focus
Research interests
The areas I am studying and exploring through coursework, projects, and research.
Autonomous Mobile Robotics
Robot navigation, obstacle avoidance, and the systems that connect perception to movement.
Computer Vision
Vision-based scene understanding and obstacle perception for mobile robots.
Deep Reinforcement Learning
Learning-based control and navigation policies as an area of ongoing study.
ROS & Gazebo
Robot Operating System tools and simulation workflows for mobile-robot development.
IoT & Edge AI
Connecting embedded sensing with efficient, resource-aware intelligent systems.
Featured · Current research
Research in progress
A developing research direction in robot perception and learning-based navigation.
Autonomous Mobile Navigation & Perception: A Deep Reinforcement Learning Framework for Dynamic Obstacle Avoidance
A developing research direction investigating how visual and range-sensor perception can support obstacle-aware mobile-robot navigation. This is an ongoing research direction; results and publication status will be updated as the work progresses.
Target venue: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Selected work
Projects & research
Selected projects from robotics, IoT, mobile applications, and full-stack development.
Autonomous Driving System
An autonomous robot project exploring deep-learning-based path planning and obstacle detection for real-time navigation in dynamic environments.
SAFESTEP
A wearable safety device bringing together fall detection, emergency SOS alerts, live location, heart-rate monitoring, and gait analysis.
Notebook · Latest entries
Working notes
Short technical notes on ideas and tools I am learning.
Recognition
Achievements
Selected honors and milestones from my academic and project work.
Winner — National Science Day
Radio Astronomy Centre (RAC)
2nd Position — Tinker's Lab Hackathon
Indian Institute of Technology Hyderabad
2nd Position — National Level Hackathon
Erode Sengunthar College of Engineering
Winner — Project Expo
Sri Eshwar College of Engineering
Contact
Let's connect.
I welcome conversations about robotics, computer vision, research opportunities, project collaboration, and intelligent systems.
Email meAcademic profiles