Michael Packianather
Papers
16
Total Citations
175
H-Index
7
About
Michael Packianather is a robotics and automation researcher whose work spans flexible robot dynamics, industrial automation, autonomous task planning, and advanced control systems. His research has made meaningful contributions across both theoretical and applied dimensions of robotics engineering. In the domain of robot dynamics, Packianather has developed innovative finite element formulations for flexible robots, addressing longstanding limitations in conventional Lagrangian methods. His 2019 and 2020 papers on this topic have collectively attracted over 56 citations, reflecting strong community interest in more accurate dynamic modelling approaches. His work on industrial automation is equally notable — his design of a robotic arm for hot forging press environments directly addresses real-world safety and productivity challenges, garnering 25 citations since 2018. Packianather has also advanced semantic knowledge-based task planning for service robots, developing frameworks that incorporate common-sense reasoning and probabilistic methods such as Markov Logic Networks to handle uncertainty in dynamic domestic environments. A recurring focus across multiple publications is the Robogymnast — a triple inverted pendulum system — through which he has explored LQR, PID, and other control strategies for highly nonlinear robotic systems. His body of work demonstrates a productive balance between foundational research and practical engineering impact.
Research Focus
Key Achievements
Top Papers
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- 2Novel robot arm design and implementation for hot forging press automation25 citations · 2018
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- 7Simulating LQR and PID controllers to stabilise a three-link robotic system13 citations · 2022
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