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prathamv0811/README.md

🤖 Pratham V Jain – Physical AI Enthusiast

Hi! I’m Pratham V Jain, an AI & Robotics Engineering student passionate about Physical AI — where intelligent software meets the real world.

I’m focused on building robotics systems that can see, think, and act using modern AI techniques, from classical control to deep reinforcement learning.


🧠 Interests

  • Physical AI: Creating intelligent agents that integrate perception, planning, and control
  • Robotics Software: Building scalable robotics stacks with ROS 2, Gazebo, and Isaac Sim
  • AI for Robotics: Applying RL, imitation learning, VLMs, and LLMs for navigation & decision-making
  • Simulation-to-Real Transfer: Designing policies that work both in simulation and on real robots

🛠️ Skills & Tools

Domain Skills
Programming Python, C++
Robotics Frameworks ROS 2, Isaac ROS, Gazebo, RViz
Simulation Isaac Sim
AI/ML Techniques Reinforcement Learning (PPO, Actor-Critic, Q-Learning), Imitation Learning, Computer Vision (deep learning)
Development Git/GitHub, Linux, Docker

🚀 Featured Project

🤖 AI Agent for TurtleBot Navigation with Gemini

I built an AI agent that controls a TurtleBot using Gemini:

  • Gemini interprets high-level natural language instructions (e.g., "patrol this area" or "go near the table").
  • The agent converts these instructions into ROS 2 navigation goals.
  • The TurtleBot performs SLAM for mapping and localization.
  • The robot autonomously navigates and executes tasks in its environment.

Tech Stack: ROS 2 · Python · Gemini LLM · SLAM · Navigation2


📚 Learning Journey

  • Building a solid foundation in robotics math: kinematics, transformations, optimization
  • Exploring AI-driven control: RL for locomotion & manipulation
  • Mastering simulation tools before deploying to real hardware

🎯 Long-Term Vision

“Robotics is the ultimate integration of AI and engineering.”

I aim to develop humanoids and advance Physical AI — designing embodied agents that:

  • See the world through vision and multimodal perception
  • Think using LLMs, reasoning, and planning algorithms
  • Act autonomously to assist, collaborate, and interact with humans in real-world environments

My ultimate goal is to push the boundaries of robot intelligence, making humanoids and embodied AI more capable, safe, and useful.


📫 Connect with Me


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  1. LLM-Navigation_gemini LLM-Navigation_gemini Public

    This project implements a ROS 2 node that acts as an intelligent agent, translating natural language commands into actions for a robot (e.g., TurtleBot3). It uses the Google Gemini API for language…

    Python 11 4