> INITIALIZING SYSTEM...
> LOADING AUTONOMY MODULES...
> CALIBRATING SENSORS...
> ESTABLISHING NEURAL LINK...
> SYSTEM READY
> CURRENT_TASK: Master's_Robotics_UIUC
> FOCUS: Humanoids, Safe Autonomy, Embedded AI
> STATUS: Developing Intelligent Systems
Zero-shot 6D tracking architecture with VLM-based semantic inventory. Achieved 76.5-100% ADD-S AUC on YCB-Video.
Vision-based HRI with real-time hand tracking. Robot adapts to human position for seamless object transfer.
TTC-driven safety architecture. Fused LiDAR + RGB-D for pedestrian tracking with 90% success rate.
Implemented whole-body locomotion and motion planning for Unitree G1. Enforced ZMP control, MPC balance and RL locomotion for stable manipulation and reaching tasks.
Developed a perception pipeline converting depth clouds to elevation maps for quadruped footstep placement.
Trained terrain-adaptive locomotion with PPO and integrated CBF as a real-time safety filter. Achieved zero-fall locomotion with 99% unsafe action rejection.
Trained ANYmal quadruped policies using Proximal Policy Optimization. Achieved robust traversal on irregular terrain with 0-fall safety constraints.
Fused Visual-Inertial Odometry with footstep planning. Enabled autonomous navigation in GPS-denied environments with <10cm drift.
Built a 5-DOF prosthetic arm controlled by EMG signals. Used XGBoost on ESP32 for real-time gesture classification with 96% accuracy.
> # THE OBJECTIVE
The robotics industry is building calculators. I want to build the smartphone.
> # THE CONCEPT
"One Robot. Many Lives."
My vision is a Universal Chassis augmented by a Skill Ecosystem. Instead of single-purpose hardware, we need a core intelligence that can download "Physical Apps" - mastered skills for logistics, caregiving, or disaster response.
> # THE IMPLEMENTATION
The key is not just mechanics, but the Core Intelligence - an OS that translates human intent into flawless execution using verified skill blocks. This system must be built on a foundation of "Simulation-First" safety protocols.