Teja Vishnu Vardhan Boddu
Robotics and AI Engineer
Hello, I’m Teja, a Master’s student in Robotics and Autonomous Systems at ASU.
I am a Robotics and AI Engineer specializing in autonomous navigation, robotic control, and AI integration.
On track to graduate in May 2026, seeking opportunities to apply theoretical knowledge in real-world robotics and AI systems.
- btvvardhan@gmail.com
- Phone
- (+1) 667-445-8867
- Website
- https://btvvardhan.github.io/
- GitHub
- btvvardhan
- btvvardhan
Education
–
Master of Science in Robotics and Autonomous Systems (Systems Engineering)
from Arizona State University, Tempe, AZ with GPA of 4.0 / 4.0
Bachelor of Technology in Mechanical Engineering
from Indian Institute of Technology Madras, Chennai, India
Courses
- Robotics Systems 1
- Robotics Systems 2
- Mechatronic Systems
- Generative AI
- Space Robotics and AI
- Bio-Inspired Robotics
- Reinforcement Learning in Robotics
- Multi-Robot Systems
Projects
Multi-Robot System: Safe Warehouse Convoy with CLF-CBF Control (Isaac Sim · CVXPY · QP Optimization) :
Mathematically guaranteed collision-free leader-follower convoy system implementing Control Lyapunov Functions (CLF) and Control Barrier Functions (CBF) for safety-critical control in Isaac Sim.
Highlights
- Designed and implemented CLF-CBF hybrid control framework ensuring 100% collision avoidance across multiple scenarios.
- Formulated and solved real-time Quadratic Programs (QP) with multi-solver fallback achieving less than 1ms solve time per robot.
- Integrated dynamic obstacle tracking with inter-obstacle collision avoidance for realistic warehouse simulation scenarios.
- Achieved 0.60m safety distance maintenance and <0.1m formation tracking error during obstacle avoidance maneuvers.
Bio-Inspired Quadruped Spiderbot: CPG-RL Locomotion & SLAM Integration (ROS2 · Isaac Lab · Van der Pol CPG) :
12-DOF quadruped robot with forward kinematics gait control, LiDAR-based SLAM, and YOLOv8 object detection. Parallel simulation studies exploring CPG-RL using Van der Pol oscillators.
Highlights
- Designed and fabricated custom 3D-printed 12-DOF quadruped platform with hierarchical control (Arduino Mega + Raspberry Pi 4).
- Implemented forward kinematics-based crawling gait with 75% duty factor and 6-DOF motion commands (forward, lateral, yaw).
- Integrated YDLiDAR X2 SLAM and YOLOv8 object detection for real-time mapping and environment awareness.
- Developed CPG-RL architecture in Isaac Lab (4096 parallel envs) using Van der Pol oscillators, achieving smooth locomotion in simulation.
Denoising Diffusion GAN: Latent Manipulation & Synthetic Data Generation :
Explored DDGAN latent-space controls for image diversity and attribute edits; built a reproducible synthetic data pipeline and benchmarked generation speed. Slides: DDGAN + Latent Editing.
Highlights
- Manipulated DDGAN latents to steer diversity and partially edit attributes across denoising steps despite entangled spaces.
- Ran controlled studies on CelebA-HQ to analyze multimodality and effects of latent vector shifts.
- Implemented synthetic data generation via randomized seeds, posterior sampling, and batch-consistent latent vectors.
- Measured and benchmarked end-to-end image generation time to enable scalable dataset creation.
Solving a Maze with MyCobot Pro 600 (Python · OpenCV · MATLAB) :
Built a digital twin and full pipeline to detect, solve, and execute maze paths on a 6-DOF arm with IK-based motion.
Highlights
- Used Python + OpenCV for maze detection, graph construction, and shortest-path solving.
- Designed inverse-kinematics motions in MATLAB to generate smooth, collision-free trajectories.
- Streamed plans to the physical robot via TCP for real-time execution.
PX4-based UAV Rock Detection and Localization (ROS 2 · Gazebo · PX4-Autopilot · DL) :
Simulated a UAV over photogrammetry terrain, performed YOLOv8 detection, and localized rocks in world coordinates using TF transforms.
Highlights
- Built ROS 2 + PX4 + Gazebo Sim environment with custom photogrammetry terrain for realistic perception.
- Trained and integrated YOLOv8 for real-time rock detection.
- Used depth + TF (map → base_link → camera_link) to compute accurate global positions.
AI-Accelerated Multi-Modal Tutor (ASU × NVIDIA Spark Challenge · Sol Supercomputer) :
LLM-powered tutor running on Sol (A100 GPUs); supports PDFs, videos, and code with RAG and automated GPU benchmarking.
Highlights
- Built a multi-modal interface for document/video/code inputs with Gradio.
- Integrated RAG using HuggingFace + Chroma for document-grounded Q&A.
- Automated CPU→GPU code conversion and benchmarked GPU vs CPU performance on Sol.
- Deployed with Ollama and Whisper for transcription; scheduled vector embedding and efficient GPU jobs.
Autonomous Line Following & Precision Landing with Parrot Minidrone :
On-board visual servoing and precision landing on a moving target using MATLAB Simulink + Stateflow—no GPS/external localization.
Highlights
- Implemented real-time RGB processing to detect a red landing marker and follow lines.
- Designed a state-machine controller for adaptive descent and stable touchdown.
- Executed HIL loops to minimize latency and improve control stability under dynamic conditions.
Experience
– present
Course Grader — EGR 432: Engineering Thermo-Fluids II at Arizona State University
Grader for an upper-division thermo-fluids course. Assessed homework and exams with rubric-based grading, provided detailed feedback, and supported course operations on Canvas.
– present
Course Grader — EGR 313: Mechanical Systems Project II at Arizona State University
Grader for a project-based mechanical systems course. Evaluated team deliverables, demos, and presentations; offered technical and writing feedback on design and analysis.
Volunteer
–
Volunteer at Sanghi Foundation – FIRST Robotics Competition
Supported team assistance and event organization.
Highlights
–
Mentor at National Service Scheme (NSS), India
Mentored and helped underprivileged students in rural areas with their education.
Highlights
Languages
- English
- Fluency: Professional Working
- Telugu
- Fluency: Native
- Hindi
- Fluency: Professional Working
Skills
- Programming
- Keywords:
- AI/ML
- Keywords:
- Robotics
- Keywords:
- Tools
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Interests
- Robotics Research
- Keywords:
- Hobbies
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