Sensori Robotics

Table of Contents

1. Overview
2. Role
3. Problem
4. Goal
5. Solution

Overview

Developed an autonomous navigation system for a mobile robotics platform at The University of Texas at Dallas. Leveraged Nvidia IsaacLab and IsaacSim to port real-world environments into simulation, enabling rapid prototyping and testing of path planning algorithms within a 6-month timeline.

👨‍💻 Role

Developer

❓ Problem

1. Real-world robotics testing is costly and time-intensive
2. Dynamic obstacles require real-time trajectory adjustments
3. Hardware-software integration must be validated before physical deployment
4. Path planning algorithms need rapid iteration cycles

🎯 Goal

1. Build a simulation-driven development pipeline for autonomous navigation
2. Implement real-time trajectory optimization for dynamic obstacle avoidance
3. Validate autonomous movement in simulated environments before deployment
4. Coordinate hardware-software integration using control systems principles

✨ Solution

• Ported real-world environments into Nvidia IsaacSim for high-fidelity simulation
• Implemented path planning algorithms with real-time trajectory optimization
• Applied control systems and digital logic design principles for hardware-software coordination
• Validated performance in simulated environments to de-risk physical deployment