Papers
20
Total Citations
256
H-Index
9
About
Ehsan Hashemi is a leading researcher in robotics and control systems, with a focus on mobile robot locomotion, bipedal walking, and intelligent control. His work spans from foundational contributions to four-wheeled omnidirectional mobile robots—where his 2011 paper on model-based PI-fuzzy control (66 citations) and 2009 work on trajectory planning optimization (23 citations) established key methods for slip-free navigation—to pioneering advances in human gait analysis using deep reinforcement learning. His 2021 paper on natural walking with musculoskeletal models (37 citations) introduced a novel framework that combines detailed biomechanical models with DRL to generate realistic, energy-efficient gaits, while his 2022 adaptive reference inverse optimal control method (15 citations) further refined gait optimization. Hashemi has also made significant contributions to disturbance estimation, with a comprehensive 2023 survey (15 citations), and to autonomous robot localization, including infrastructure-aided slip-aware state estimation (2022, 11 citations). His work on intelligent robotic rollators for unsupervised fault detection (2021, 13 citations) demonstrates a commitment to assistive robotics. With over 200 total citations across these highly cited papers, Hashemi’s research continues to shape the fields of mobile robotics, biomechanics, and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Model-based PI–fuzzy control of four-wheeled omni-directional mobile robots66 citations · 2011
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- 4A brief survey of observers for disturbance estimation and compensation15 citations · 2023
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- 6Unsupervised fault detection and recovery for intelligent robotic rollators13 citations · 2021
- 7Kinematic and three-dimensional dynamic modeling of a biped robot13 citations · 2016
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- 10Particle filter based localization of the Nao biped robots9 citations · 2012