1 citations · 1 across the 3 of their papers we have counts for
5 papers
F2A-ObjectNav: An Adaptive Agentic Architecture for Object-Goal Navigation
Seyed Ali Mirghasemi, Alireza Taheri
Object-goal navigation requires an embodied agent to explore an unfamiliar environment, identify a target object, navigate toward candidate instances, and reliably determine whethe…
RoboSolver: A Multi-Agent Large Language Model Framework for Solving Robotic Arm Problems
Hamid Khabazi, Ali F. Meghdari, Alireza Taheri
This study proposes an intelligent multi-agent framework built on LLMs and VLMs and specifically tailored to robotics. The goal is to integrate the strengths of LLMs and VLMs with…
PISHYAR: A Socially Intelligent Smart Cane for Indoor Social Navigation and Multimodal Human-Robot Interaction for Visually Impaired People
Mahdi Haghighat Joo, Maryam Karimi Jafari, Alireza Taheri
This paper presents PISHYAR, a socially intelligent smart cane designed by our group to combine socially aware navigation with multimodal human-AI interaction to support both physi…
Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities
Seyede Niloofar Hosseini, Ali Mojibi, Mahdi Mohseni +2
This study aimed to explore the application of deep neural networks for whole-body human posture prediction during dynamic load-reaching activities. Two time-series models were tra…
LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer
Rasoul Zahedifar, Sayyed Ali Mirghasemi, Mahdieh Soleymani Baghshah +1
This study presents the LLM-Agent-Controller, a multi-agent large language model (LLM) system developed to address a wide range of problems in control engineering (Control Theory).…