Muhammad Haras Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
Research Areas
Biography and Research Information
OverviewAI-generated summary
Muhammad Haras investigates biomechanical models and control strategies for human movement, particularly focusing on the sit-to-stand motion. His research utilizes data-driven identification and optimal control techniques to understand and potentially improve these movements. Haras has explored both model-based and model-free optimal control methods, as well as reinforcement learning approaches for developing control policies. His work in this area has resulted in recent publications in journals focused on biomechanics and control systems. Haras's research has a h-index of 2 with 3 total publications and 4 citations.
Metrics
- h-index: 2
- Publications: 3
- Citations: 5
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
- Model-based and Model-free Optimal Control of Biomechanical SIP Model
- Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model
- Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement