M
Mohammad Shahbazi
Researcher at Iran University of Science and Technology
Publications - 29
Citations - 208
Mohammad Shahbazi is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Computer science & Inverted pendulum. The author has an hindex of 5, co-authored 21 publications receiving 122 citations. Previous affiliations of Mohammad Shahbazi include University of Tehran & Istituto Italiano di Tecnologia.
Papers
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Journal ArticleDOI
An Overview on Principles for Energy Efficient Robot Locomotion.
Navvab Kashiri,Andy Abate,Sabrina J. Abram,Alin Albu-Schaffer,Patrick Clary,Monica A. Daley,Salman Faraji,Raphael Furnemont,Manolo Garabini,Hartmut Geyer,Alena M. Grabowski,Jonathan W. Hurst,Jorn Malzahn,Glenn Mathijssen,C. David Remy,Wesley Roozing,Mohammad Shahbazi,Surabhi N. Simha,Jae-Bok Song,Nils Smit-Anseeuw,Stefano Stramigioli,Bram Vanderborght,Yevgeniy Yesilevskiy,Nikolaos G. Tsagarakis +23 more
TL;DR: A number of control approaches allowing for energy efficient locomotion of robots by exploiting the natural dynamics of the system, and by utilizing optimal control approaches targeting locomotion expenditure are reviewed.
Journal ArticleDOI
Unified Modeling and Control of Walking and Running on the Spring-Loaded Inverted Pendulum
TL;DR: An event-driven control approach that enables the realization of active running, walking, and walk-run transitions in a unified framework is presented and a novel analytical approximate solution to the otherwise nonintegrable double-stance dynamics of the SLIP model is proposed.
Journal ArticleDOI
Automated Transitions Between Walking and Running in Legged Robots
TL;DR: Inspired by human kinematics, a detailed procedure is proposed for the WRT and RWT in an adjustable-stiffness spring and mass model, and derive control parameters that ensure effective gait transitions.
Journal ArticleDOI
An improved version of Inverse Distance Weighting metamodel assisted Harmony Search algorithm for truss design optimization
TL;DR: This paper focuses on a metamodel-based design optimization algorithm that is a combination of a high quality approximation technique called Inverse Distance Weighting and a meta-heuristic algorithm called Harmony Search and the outcome is polished by a semi-tabu search algorithm.
Proceedings ArticleDOI
Analytical approximation for the double-stance phase of a walking robot
TL;DR: An approximate analytical solution to the otherwise non-integrable double-stance dynamics of the bipedal spring-loaded inverted pendulum (SLIP) is introduced and a control application based on this solution is presented.