Joshua Campbell
Papers
2
Total Citations
6
H-Index
2
About
Joshua Campbell’s research centers on robotic grasping and manipulation, with a particular focus on developing standardized benchmarks to evaluate robot hand performance. His major contributions include the creation of the Asterisk Test, a novel benchmark that characterizes a robot hand’s ability to translate objects on a table using only two fingers in eight linear directions. This test is notable for being agnostic to the controller, object, and hand design, making it a versatile tool for the field. Additionally, Campbell has addressed the challenge of inconsistent workspace measurements in robotic hands by proposing methods to normalize for object size and approximate hand workspaces. His work aims to improve scientific communication and comparability in grasping research. Though his most-cited papers currently have modest citation counts (4 and 2), their emphasis on standardization and reproducibility is foundational for advancing the field. Campbell’s research is particularly valuable for students and researchers seeking rigorous, generalizable methods to assess and compare robotic manipulation capabilities.
Research Focus
Key Achievements
Top Papers
- 1
- 2