Autonomous Navigation using RL
Developed an autonomous mobile robot navigation system using TD3-based Deep Reinforcement Learning, integrating LiDAR sensing and ROS 2 for real-time decision-making.
View ProjectTraveling, discovering, exploring—that's how I live.
Designing and building robots—that's how I create.
I combine adventure and invention in everything I do.
Engineer. Explorer. Dreamer of autonomous worlds.
Fascinated by how machines can learn, adapt, and move with purpose, I enjoy working at the crossroads of robotics and AI, where imagination meets engineering, and where robots are shaped to navigate complex, dynamic environments.
Currently pursuing my Master's at Texas A&M University, I focus on challenges in autonomous navigation, planning, perception, and control, always aiming to bridge the gap between theory and real-world applications of intelligent machines.
Developed an autonomous mobile robot navigation system using TD3-based Deep Reinforcement Learning, integrating LiDAR sensing and ROS 2 for real-time decision-making.
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Implemented PPO-based deep reinforcement learning for dynamic trajectory planning of a 7-DOF Kinova JACO2 arm in ROS–Gazebo environment.
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Built a ROS2-based autonomous navigation pipeline using Probabilistic Roadmaps for global planning in obstacle-dense environments.
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Developed deep learning–based enhancement using MIRNet, deployed on Arduino Nano 33 BLE Sense for edge AI applications.
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Designed hybrid path planning framework combining heuristic strategies with local 2-opt optimization for efficient navigation.
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Team: CSD Robocon NITK, Mangalore, India
Started as an electronics and programming systems member, later mentored juniors and coordinated across subsystems. Eventually stepped up as Vice Captain, guiding a 40+ member team to the ABU Robocon stage.
College Station, Texas, USA
Master of Science in Electrical Engineering | GPA : 4.0/4.0
Aug 2025 – May 2027
Courses : Robotics & Spatial Intelligence, Visual Navigation and Foundational Models of Autonomy, Computer Vision and Robot Perception, Reinforcement Learning, Linear Multivariate Systems, Probability and Random Processes
Mangalore, Karnataka, India
Bachelor of Technology in Electrical and Electronics Engineering | GPA : 8.70/10
Minor in Management
Dec 2021 – May 2025
- Undergraduate Student Researcher at REHAB Group, Dept of EEE
- Vice Captain of Robotics Team, CSD Robocon NITK
Thiruvananthapuram, India
Summer Research Intern
May 2024 – Jul 2024
Received Indian Academy of Science Summer Research Fellowship
Let's connect! I'm always excited to collaborate on robotics, AI, and autonomous vehicles.