Kris Wood

University of Colorado Denver

Papers

1

Total Citations

3

H-Index

1

About

Kris Wood is a rising figure in the field of reconfigurable robotics, with a focused interest in how transformer-like systems can adapt their morphology to perform diverse functions. Their most-cited work, "Reconfigurable Robot Design Aided With Design Cards" (2022), introduces a novel, accessible methodology for conceptualizing and prototyping modular robots that can shift their state or shape in response to changing tasks. This contribution is particularly significant for advancing autonomous robotic solutions in dynamic environments, from search-and-rescue to industrial automation. While their citation count is still growing—with the flagship paper garnering 3 citations—Wood’s work is gaining traction for its practical design tools that lower the barrier to entry for complex robotics. By bridging design theory and engineering, Wood is helping to democratize the creation of adaptable machines, making their research a valuable resource for students and engineers eager to explore the next generation of flexible, multifunctional robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Reconfigurable Robot Design Aided With Design Cards
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Colorado Denver

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago