Doctoral Researcher · Tampere University

Mohammad Heravi

I am a doctoral researcher in the field of Automation Technology and Mechanical Engineering at Tampere University, specializing in the study of physics-informed data-driven modeling and reinforcement learning (RL) for reliable field robotics.

My research integrates high-fidelity modeling with control and reinforcement learning methodologies to enhance the safety and autonomy of heavy machinery.

Portrait of Mohammad Heravi
Affiliation

Tampere University — Automation Technology and Mechanical Engineering

AMM

Location

Tampere, Finland

Primary email contact@mheravi.ir
Research focus
Physics-informed, data-driven modeling Robotics Control Excavation autonomy Reinforcement learning

My research integrates high-fidelity modeling with control and reinforcement learning methodologies to enhance the safety and autonomy of heavy machinery.

Papers

Thumbnail for Physics-informed data-driven modeling of rock motion dynamics in excavation using a high-fidelity simulator
Journal of Simulation Modelling Practice and Theory

Physics-informed data-driven modeling of rock motion dynamics in excavation using a high-fidelity simulator

Physics-informed neural net predicts rock motion dynamics during excavation.

Mohammad Heravi, Amirmasoud Molaei, Reza Ghabcheloo

Thumbnail for Designing, Prototyping, and Controlling a Portable Rehabilitation Robot for the Shoulder Physiotherapy and Training
2019 7th RSI International Conference on Robotics and Mechatronics (ICRoM)

Designing, Prototyping, and Controlling a Portable Rehabilitation Robot for the Shoulder Physiotherapy and Training

Portable 5-DOF shoulder rehab robot with EMG-informed home therapy.

Mohamad Ali Soleimani, Hassan Zohoor, AliReza Fallah Yakhdani, Mohammad Heravi, Esmaeil Mohammadi