Muhammad Haras
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Muhammad Haras investigates optimal control strategies for biomechanical models, focusing on human movement. His research employs reinforcement learning and data-driven identification methods to develop control policies for systems like the double inverted-pendulum and triple-link inverted pendulum. These models are used to analyze and optimize movements such as the sit-to-stand transition. Haras collaborates with Kamran Iqbal at the University of Arkansas at Little Rock, with whom he has co-authored three publications. His scholarly output includes three publications and has garnered five citations, with an h-index of 2.
Metrics
- h-index: 2
- Publications: 3
- Citations: 6
Selected Publications
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Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement (2023)
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Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model (2023)
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Model-based and Model-free Optimal Control of Biomechanical SIP Model (2022)
Collaboration Network
Top Collaborators
- Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model
- Model-based and Model-free Optimal Control of Biomechanical SIP Model
- Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement
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