Jeremiah Coholich
Papers
1
Total Citations
13
H-Index
1
About
Jeremiah Coholich is a robotics researcher whose work sits at the critical intersection of soft sensing, terrain intelligence, and dynamic legged locomotion. His primary research focuses on enabling bipedal and legged robots to navigate unstructured, rugged environments—a long-standing challenge in field robotics. His most-cited paper, "Soft Foot Sensor Design and Terrain Classification for Dynamic Legged Locomotion" (2020, 13 citations), introduces a novel soft sensor architecture for robotic feet that provides rich tactile feedback, allowing robots to classify terrain in real time and adapt their gait accordingly. This contribution directly addresses the limited foot contact sensing that has historically constrained bipedal robots in cluttered outdoor settings. By combining soft robotics principles with machine learning for terrain classification, Coholich’s work bridges a critical gap between hardware design and autonomous decision-making. His research has implications for search-and-rescue, planetary exploration, and disaster response, where reliable locomotion over unpredictable surfaces is essential. As a rising voice in the legged robotics community, Coholich is helping to redefine how robots perceive and interact with the ground beneath them.
Research Focus
Key Achievements
Top Papers
- 1