You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project showcases modules like path planning, communication, resource management and more. Simulate efficient swarm behavior while handling module failures. Experience the power of collaboration in optimizing productivity and minimizing disruptions.
🤖 Advanced multi-agent robotics system using ROS2, NVIDIA Isaac Sim, behavior trees, and RL locomotion controllers. Features mobile manipulator, forklift, and Spot robot with autonomous navigation and manipulation. Graduation Project 2025.
Prime Stock allows businesses to monitor products and parts as they move from suppliers to warehouses, between multiple warehouse locations, and finally to retail outlets or directly to customers.
A high-fidelity SolidWorks digital twin environment designed for autonomous robotics simulation, path planning validation, and industrial warehouse logistics.
An environment to make AI agents learn how to identify, place and adjust the position of objects in a virtual environment which are scattered in a random fashion.
Multi-robot warehouse simulation on a configurable NxN grid. Models ground-based and aerial robots with priority-based pathfinding, euclidean shortest-path movement, and real-time collision avoidance visualized with Matplotlib.
A two-tier planning framework for Human-Aware Lifelong Multi-Agent Path Finding under Partial Observability (HA-LMAPF) in dynamic warehouse environments with unpredictable human workers.
I am thrilled to share details about our groundbreaking project, LogisticBot, developed as part of my Bachelor's degree in Computer and Control Engineering at El Shorouk Academy.