Merrill Edmonds
Papers
6
Total Citations
28
H-Index
4
About
Merrill Edmonds is a robotics researcher whose work sits at the intersection of soft robotics, precision agriculture, and human-robot interaction. Their key contributions include developing a spline-based modeling and control framework for soft robots, enabling more generalizable approaches to managing soft body dynamics—a foundational challenge in the field. In agricultural robotics, Edmonds has pioneered efficient multi-robot inspection systems for row crops using kernel estimation and region-based task allocation, as well as methods for generating high-density hyperspectral point clouds to support precision agriculture. Their work on optimal trajectory planning for autonomous human-following carts, designed to aid public health during the COVID-19 pandemic, demonstrates a commitment to socially relevant applications. Edmonds has also advanced mission planning for unmanned aerial and ground vehicles under energy constraints, and developed model predictive control methods for systems facing state-like disturbances, such as robots operating in fluids. With over 28 citations across their most-cited papers, Edmonds is establishing a reputation for impactful, application-driven robotics research that bridges theory and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Spline-Based Modeling and Control of Soft Robots7 citations · 2020
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