Kadon Engle
Papers
1
Total Citations
5
H-Index
1
About
Kadon Engle’s research lies at the intersection of human motor control and robotic manipulation, with a focus on how people intuitively grasp objects of varying sizes and shapes. In his most-cited work, “Grasping Objects Big and Small: Human Heuristics Relating Grasp-Type and Object Size” (2018, 5 citations), Engle developed an innovative online data collection method to capture human intuition about preferred grasp types for fundamental object geometries. By adopting a taxonomy that integrates grasp pre-shape, approach, wrist orientation, and object shape, he systematically mapped how humans select grasps based on object size—a critical insight for designing more intuitive robotic hands. Though early in his career, this contribution bridges cognitive science and robotics, offering a scalable framework for training robots to mimic human-like dexterity. Engle’s work provides a foundation for future studies in human-robot interaction and prosthetic design, demonstrating how simple heuristics can inform complex manipulation tasks. His research is a valuable resource for students and engineers seeking to understand the principles behind natural grasping behavior.
Research Focus
Key Achievements
Top Papers
- 1