Felix Ellensohn

Papers

Total Citations

H-Index

About

Felix Ellensohn’s research sits at the intersection of robotic perception and human-machine interaction, with a focus on developing practical, accessible sensing and control systems. His most cited work introduces a flexible, low-cost tactile sensor for robotic applications, addressing a critical gap in enabling robots to interact safely and intelligently with their environment through the sense of touch. This sensor design, which has garnered 17 citations, is notable for its potential to democratize tactile feedback in robotics, moving beyond expensive, specialized hardware. Ellensohn also contributes to the field of driving simulation, where he developed an actuator-based optimization motion cueing algorithm. This work tackles the challenge of keeping a hexapod-driven simulator within its physical limits while accurately conveying motion cues to the driver—a problem central to creating realistic and safe training environments. With a total of 23 citations across these key papers, Ellensohn’s contributions are shaping more responsive and cost-effective robotic systems, from industrial automation to advanced driver training platforms.