Joel Stephen Short
Singapore Institute of Manufacturing Technology, National University of Singapore
Papers
2
Total Citations
6
H-Index
2
About
Joel Stephen Short is a researcher whose work bridges the frontiers of soft robotics and nonlinear control theory. His primary research areas include dielectric elastomer actuators (DEAs) for artificial muscle applications and advanced control methods for underactuated robotic systems. Short’s most notable contribution is a modified diaphragm-type DEA configuration that significantly improves electrically-induced displacement, addressing a key limitation in soft actuator technology. This work, published in 2018, has garnered 4 citations and represents a meaningful step toward practical, high-performance artificial muscles capable of generating diverse motions. In parallel, Short developed a generalized method for stable model inversion of underactuated robots using Hamiltonian formalism. This 2015 paper, with 2 citations, provides a novel feedforward control framework applicable to both SISO and MIMO systems with scleronomous constraints—a mathematically rigorous approach that expands the toolkit for controlling robots with fewer actuators than degrees of freedom. While his citation counts are modest, Short’s contributions demonstrate technical depth in two challenging domains: soft actuation and nonlinear control. His work offers valuable insights for researchers developing next-generation robotic systems that require both compliant, muscle-like actuation and precise, stable control under constraints.
Research Focus
Key Achievements
Top Papers
- 1
- 2