6 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
Amin Vahidi-Moghaddam, Sayed Pedram Haeri Boroujeni, Iman Jebellat +3
One of the main challenges in modern control applications, particularly in robot and vehicle motion control, is achieving accurate, fast, and safe movement. To address this, optima…
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Hazim Alzorgan +2
Autonomous Vehicles (AVs) are transforming the future of transportation through advances in intelligent perception, decision-making, and control systems. However, their success is…
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
Michael Elrod, Niloufar Mehrabi, Rahul Amin +4
Mission planning for a fleet of cooperative autonomous drones in applications that involve serving distributed target points, such as disaster response, environmental monitoring, a…
Eyes on the Environment: AI-Driven Analysis for Fire and Smoke Classification, Segmentation, and Detection
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Fatemeh Afghah +4
Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife. In this particular circumstance,…