Biography

I am a Master's student in Robotics and Autonomous Systems at Arizona State University expected to graduate in May 2026. Originally from India, I completed my Bachelor of Technology in Mechanical Engineering from IIT Madras, Chennai. After discovering my passion for robotics during my undergraduate studies, I pursued graduate education to deepen my expertise in autonomous systems and AI. My technical skills span ROS2, PX4 Autopilot, Python, MATLAB, and AI/ML frameworks,Generative AI. I have completed certifications from IBM (Professional AI) and Stanford (Machine Learning Specialization), and gained hands-on experience with ASU's Sol supercomputer for AI development. I thrive in collaborative, fast-paced environments and actively participate in hackathons including Honeywell, NVIDIA AI Spark, and Los Alamos challenges, where I push myself to create innovative solutions under tight deadlines. I also volunteer at the FIRST Robotics Competition through the Sanghi Foundation, supporting Arizona's robotics community. Beyond academics, I enjoy swimming, traveling, and playing chess—activities that help me maintain balance and fresh perspectives. I am eager to contribute to cutting-edge research that bridges AI and robotics, ultimately creating technologies that can meaningfully impact society.

Academic Information

Status: Masters Student

Year in Program: 2nd

Major/Specialty: Robotics and Autonomous Systems

Degrees: Bachelor of Technology/Mechanical Engineering/2023 Master of Science/Robotics and Autonomous Systems/2024-present

Research Areas

Computer Science; Engineering; Machine Learning/AI; other

Research Interests

My research focuses on autonomous robotic systems that can perceive, reason, and adapt to complex environments. I'm currently building a spider-inspired 12-actuator robot integrating Vision Language Models and LLMs for high-level control with SLAM navigation. My work spans three areas: AI-driven robotic control using language models for higher-level reasoning, computer vision and perception for real-time navigation systems, and multi-modal AI that processes vision, text, and code simultaneously. My goal is to advance embodied AI research—creating robots that can effectively collaborate with humans in disaster response, exploration, and challenging real-world scenarios.

Topical Areas

Computer Science; Electrical, Electronic, and Information Engineering; Mechanical Engineering; Other Computer and Information Sciences; Other Engineering and Technologies; Training; Visualization and Human-Computer Systems

Relevant Coursework

Generative AI:Theory and Practice Space Robotics and AI Robotics Systems 1 Robotics Systems 2 Mechatronic Systems Applied Linear Algebra

Faculty Mentor

Bogdan Gavrea