.NET/Blazor component that autonomously dispatches a drone to an emergency alert location, integrated with UgCS's commercial flight-control SDK. Built for Enel (Bogotá, 2019–2020).
Marine long distance route planning for autonomous surface vessels and UI software.
A lightweight prototype of the Hessian Autonomous Engine (HAE), implementing the Biological Principle of Least Action (BPLA) with second-order curvature-steering and metabolic homeostasis for continuous, state-free agent navigation.
AI-based autonomous navigation system with dynamic obstacle handling and real-time A* path planning
ROS 2 navigation algorithms (PID, FSM, Potential Fields) for autonomous mobile robots | TurtleSim implementation...
Safe Reinforcement Learning for Warehouse AMRs using Control Barrier Functions (CBF) & cvxpy
Convex-Neural RRT*: Learning-guided sampling for efficient robot path planning
Autonomous warehouse delivery rover in ROS 2 Humble: Nav2/MPPI navigation, YOLO perception, and a py_trees behaviour tree that recovers when the cargo isn't there.
VIGIL — Vision-based outdoor UGV navigation simulation for SIH26126. ROS 2 Jazzy / Gazebo Harmonic; architecture, mission workflows and validation evidence.
ROS 2 autonomous robot with OpenCV vision, Gazebo simulation, differential drive control, and embedded hardware integration.
Autonomous TIAGo robot in ROS 2 Humble and Gazebo: frontier-based SLAM mapping, AMCL global localization from an unknown start pose, ArUco-driven station discovery, and pick-and-place of two cubes — one launch file per task.
MATLAB simulation of a unicycle mobile robot performing obstacle avoidance using Control Barrier Functions (CBF) and Control Lyapunov Functions (CLF).
Real-time multi-agent pathfinding system with YOLO obstacle detection, dynamic map editing, and intelligent conflict resolution for autonomous vehicles.
This is the repository for NYU Self-Drive VIP Spring 2025 semester under Prof. Chen Feng.
A reinforcement learning-based drone navigation system using Unity ML-Agents and Stable Baselines3. The drone learns to autonomously pass through gates while avoiding obstacles using PPO.
ROS Noetic-based navigation stack for the Pickasso Robot, featuring AMCL localization, DWA path planning, and obstacle avoidance in both Gazebo simulation and real-world TurtleBot3 Waffle Pi deployments
AI-Based Autonomous Navigation Simulation using A* Algorithm with obstacle avoidance and visualization.
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