J. Hershey
Papers
2
Total Citations
11
H-Index
2
About
J. Hershey is a robotics researcher whose work centers on amphibious locomotion and probabilistic state estimation for robotic systems. Their most cited paper, "Entropy-based motion selection for touch-based registration using Rao-Blackwellized particle filtering" (2011, 9 citations), introduces a novel eccentric paddle mechanism (ePaddle) that enables a single robot to perform multiple gaits for versatile movement across both land and water. This contribution addresses a fundamental challenge in amphibious robotics: achieving robust, adaptive locomotion in complex, unstructured environments. By integrating entropy-based motion selection with Rao-Blackwellized particle filtering, Hershey’s approach improves the efficiency and accuracy of touch-based registration, allowing robots to better perceive and interact with their surroundings. A second related paper (2 citations) further explores the ePaddle concept, detailing five major operational modes. While Hershey’s citation counts are modest, the work demonstrates a focused, innovative approach to bio-inspired design and sensor-driven control. Their research is particularly relevant for students and engineers interested in field robotics, multi-modal locomotion, and probabilistic methods for autonomous navigation in challenging terrains.
Research Focus
Key Achievements
Top Papers
- 1
- 2