Jonathan Bruce
Papers
15
Total Citations
946
H-Index
13
About
Jonathan Bruce is a pioneering robotics researcher whose work has fundamentally advanced the field of tensegrity robotics, particularly in applications for planetary exploration. Based primarily at NASA Ames Research Center's Dynamic Tensegrity Robotics Lab, Bruce has been a central figure in designing and validating compliant, lightweight robotic systems inspired by tensegrity structures found in biological systems. His most influential contribution is the SUPERball platform — a spherical six-bar tensegrity robot engineered to withstand high-impact landings and locomote across planetary terrain — which has garnered over 440 combined citations across its design iterations. Bruce's research spans hardware engineering, control theory, and machine learning, notably applying deep reinforcement learning and coevolutionary algorithms to solve the notoriously difficult challenge of tensegrity locomotion control. His work on state estimation and steerable locomotion controllers has further bridged the gap between simulation and real-world deployment. With a portfolio exceeding 670 total citations, Bruce's contributions have established tensegrity robotics as a credible and exciting frontier in space exploration technology, inspiring researchers across soft robotics, planetary science, and autonomous systems worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2System design and locomotion of SUPERball, an untethered tensegrity robot183 citations · 2015
- 3
- 4Deep reinforcement learning for tensegrity robot locomotion92 citations · 2017
- 5Design and evolution of a modular tensegrity robot platform83 citations · 2014
- 6SUPERball: Exploring Tensegrities for Planetary Probes42 citations · 2014
- 7
- 8
- 9Steerable Locomotion Controller for Six-strut Icosahedral Tensegrity Robots25 citations · 2018
- 10State Estimation for Tensegrity Robots23 citations