Ellis Capp
Papers
1
Total Citations
5
H-Index
1
About
Ellis Capp is a leading researcher at the intersection of soft robotics and advanced manufacturing, with a primary focus on developing novel, highly integrated sensing systems for proprioception in deformable structures. Their most cited work, "Soft and Highly-Integrated Optical Fiber Bending Sensors for Proprioception in Multi-Material 3D Printed Fingers" (2025, 5 citations), introduces a groundbreaking approach to accurate shape sensing by embedding low-cost, power-efficient optoelectronic sensors directly into multi-material 3D-printed robotic fingers. This innovation addresses a critical challenge in soft robotics: achieving closed-loop control through distributed proprioception without compromising flexibility. Capp’s contributions are notable for demonstrating that flexible optical fiber sensors can reliably cope with large deformations, enabling more lifelike and adaptive robotic systems. While early in their career, this work has already garnered attention for its practical integration of sensing and fabrication, positioning Capp as a rising figure in soft robotics and smart materials. Their research promises to advance applications in prosthetics, human-robot interaction, and autonomous soft machines.
Research Focus
Key Achievements
Top Papers
- 1