Ellande Tang
Papers
6
Total Citations
188
H-Index
4
About
Ellande Tang is a robotics researcher whose work centers on tensegrity-based robotic systems, soft robotics, and novel actuation mechanisms — areas at the intersection of structural engineering and autonomous systems. Tang is perhaps best known for contributions to spherical tensegrity robot design, most prominently through research on rod-centered actuation and control frameworks that enable fully modular, robust platforms suited for both co-robotic collaboration and space exploration. This work has garnered significant attention, accumulating over 100 citations and establishing Tang as a notable voice in the tensegrity robotics community. Beyond foundational design, Tang has advanced practical deployment of these systems by developing control strategies for locomotion on steep inclined surfaces — a challenging problem that the research addresses through simultaneous multi-cable actuation, demonstrated successfully in hardware experiments (41 citations). To accelerate the broader research cycle, Tang also contributed a modular elastic lattice prototyping platform that streamlines manufacturing and improves experimental repeatability. More recently, Tang introduced double-helix linear actuators, a compact mechanism capable of delivering high forces across large displacements, pointing toward future applications in space-efficient robotic systems. Collectively, Tang's portfolio reflects a consistent drive to bridge theoretical structural concepts with deployable, real-world robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1Soft Spherical Tensegrity Robot Design Using Rod-Centered Actuation and Control101 citations · 2017
- 2Inclined surface locomotion strategies for spherical tensegrity robots41 citations · 2017
- 3
- 4Modular Elastic Lattice Platform for Rapid Prototyping of Tensegrity Robots13 citations · 2017
- 5Double-Helix Linear Actuators3 citations · 2021
- 6Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots3 citations · 2017