Papers
2
Total Citations
7
H-Index
2
About
Christian Trejo’s research focuses on the modeling, control, and sensing of continuum soft robots, particularly those driven by pneumatic actuators. His major contributions lie in bridging the gap between soft robot mechanics and practical, real-time control. In his highly cited 2019 work, “Computing Pressure-Deformation Maps for Braided Continuum Robots,” Trejo introduced an automated method to generate sensorimotor maps that preserve the topological structure of the robot’s input space, enabling more intuitive and accurate control of these highly compliant systems. This foundational approach has been cited 4 times and is essential for developing data-driven models of soft robots. Building on this, his 2022 paper, “Cascade Control for Robust Tracking of Continuum Soft Robots with Finite-time Convergence of Pneumatic System,” addresses the critical challenge of precise trajectory tracking in hyperelastic, pneumatically-driven robots. By proposing a cascade control scheme with finite-time convergence for the pneumatic subsystem, Trejo demonstrated robust performance despite the material’s nonlinearities. With 3 citations, this work is a key step toward reliable, high-performance soft robotic systems for applications in medical devices and manipulation. Trejo’s achievements are notable for their focus on practical, implementable solutions that advance the field from theory to application.
Research Focus
Key Achievements
Top Papers
- 1Computing Pressure-Deformation Maps for Braided Continuum Robots4 citations · 2019
- 2