Moran Barenboim

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

Moran Barenboim is a robotics researcher whose work lies at the intersection of bio-inspired locomotion, autonomous planning, and probabilistic decision-making under uncertainty. Her most notable contribution is the design, modeling, and experimental validation of a **steerable burrowing robot**—a novel system that uses an internal vibro-impact mechanism and a rotating bevel-tip head to maneuver through granular media. This work, published in 2020 and garnering **15 citations**, introduces a non-holonomic steering model that addresses a fundamental challenge in subterranean robotics: controlled directional movement in sand-like environments. More recently, Barenboim has tackled the critical problem of **continuous POMDP planning** for real-world robotics. Her 2024 paper (5 citations) addresses the computational complexity of high-dimensional observation models—such as camera images—by simplifying them with probabilistic guarantees, bridging the gap between theoretical planning algorithms and practical deployment. This work is particularly relevant for robots that must reason under uncertainty in unstructured environments. Barenboim’s research sits at the exciting frontier where mechanical design meets algorithmic intelligence, offering tangible solutions for robots operating in extreme or poorly understood terrains.