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ORCIDMehran Ghafarian Tamizi
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2020 – today
- 2024
[j3]Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran:
End-to-end deep learning-based framework for path planning and collision checking: bin-picking application. Robotica 42(4): 1094-1112 (2024)- [c5]Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran:
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization. ICRA 2024: 2873-2879 - [c4]Homayoun Honari, Amir M. Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran:
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning. IROS 2024: 619-626 - [c3]Jaehoon Chung, Jamil Fayyad, Mehran Ghafarian Tamizi, Homayoun Najjaran:
The Effectiveness of State Representation Model in Multi-Agent Proximal Policy Optimization for Multi-Agent Path Finding. IROS 2024: 9947-9952 - [c2]Yehor Karpichev, Todd Charter, Jayden Hong, Amir M. Soufi Enayati, Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran:
Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach. RO-MAN 2024: 1991-1998 - [i3]Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran:
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization. CoRR abs/2402.15197 (2024) - [i2]Homayoun Honari, Amir M. Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran:
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning. CoRR abs/2408.07962 (2024) - 2023
- [j2]Mehran Ghafarian Tamizi, Marjan Yaghoubi, Homayoun Najjaran
:
A review of recent trend in motion planning of industrial robots. Int. J. Intell. Robotics Appl. 7(2): 253-274 (2023) - [i1]Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran:
End-to-end deep learning-based framework for path planning and collision checking: bin picking application. CoRR abs/2304.00119 (2023) - 2022
- [j1]Mehran Ghafarian Tamizi, Ali Akbar Ahmadi Kashani, Faraz Abed Azad, Ahmad Kalhor, Mehdi Tale Masouleh:
Experimental study on a novel simultaneous control and identification of a 3-DOF delta robot using model reference adaptive control. Eur. J. Control 67: 100715 (2022) - [c1]Marc A. Riedlinger, Mehran Ghafarian Tamizi, Juilee Tikekar, Magnus Redeker:
Concept for a Distributed Picking Application Utilizing Robotics and Digital Twins. ETFA 2022: 1-4
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