Sean Even

Papers

Total Citations

H-Index

About

Sean Even is a pioneering researcher in the field of bio-inspired soft robotics, with a primary focus on subterranean locomotion and burrowing. His work addresses one of robotics' grand challenges: enabling machines to move effectively through granular media, a domain characterized by high forces and extreme uncertainty. Even's major contributions include the development of worm-like and snake-like soft robots that replicate the efficient, low-disturbance movement strategies of natural burrowers. His 2025 paper, "Grand challenges for burrowing soft robots" (13 citations), lays out the foundational obstacles and opportunities in this nascent field. Notably, his 2024 work on "Machine Learning-Driven Burrowing with a Snake-Like Robot" (6 citations) introduces a novel ML-based control strategy to overcome the difficulty of modeling forces in soil. Even has also advanced the control of soft systems, as demonstrated in his 2023 paper on "Stable Real-Time Feedback Control of a Pneumatic Soft Robot" (5 citations), tackling the inherent under-actuation and infinite degrees of freedom of these compliant machines. His research promises transformative applications in agriculture, infrastructure inspection, and environmental monitoring.