Vytas SunSpiral

About

Vytas SunSpiral is a pioneering roboticist and researcher whose work has fundamentally advanced the field of tensegrity robotics, particularly in applications for planetary exploration and biologically inspired locomotion. Based at NASA Ames Research Center's Dynamic Tensegrity Robotics Lab, SunSpiral has dedicated his career to understanding how tensegrity structures — systems of interconnected rigid rods and elastic cables — can be harnessed to create robust, compliant robots capable of surviving the demands of space exploration and complex real-world environments. His most celebrated contribution is the SUPERball project, a spherical tensegrity robot designed to absorb high-impact landings and traverse planetary surfaces, garnering nearly 300 citations across its development phases. SunSpiral's broader portfolio spans simulation environments for tensegrity design, deep reinforcement learning for locomotion control, duct-exploring robots, and spine-inspired locomotion systems such as Tetraspine. His 2018 collaboration on co-optimizing robot morphology and control reflects a forward-thinking integration of evolutionary principles into machine design. With over 1,100 cumulative citations across his top works, SunSpiral's research sits at a compelling intersection of soft robotics, aerospace engineering, and neuroscience-inspired control, making him an essential figure for anyone exploring the future of adaptive, resilient robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and control of compliant tensegrity robots through simulation and hardware validation

   260 citations · 2014
2. 2
   System design and locomotion of SUPERball, an untethered tensegrity robot

   183 citations · 2015
3. 3
   Soft Spherical Tensegrity Robot Design Using Rod-Centered Actuation and Control

   101 citations · 2017
4. 4
   Scalable co-optimization of morphology and control in embodied machines

   99 citations · 2018
5. 5
   Design of SUPERball v2, a Compliant Tensegrity Robot for Absorbing Large Impacts

   99 citations · 2018
6. 6
   DuCTT: A tensegrity robot for exploring duct systems

   94 citations · 2014
7. 7
   Deep reinforcement learning for tensegrity robot locomotion

   92 citations · 2017
8. 8
   Design and evolution of a modular tensegrity robot platform

   83 citations · 2014
9. 9
   Rapid prototyping design and control of tensegrity soft robot for locomotion

   71 citations · 2014
10. 10
    Tetraspine: Robust terrain handling on a tensegrity robot using central pattern generators

    69 citations · 2013

Key Collaborators

Contact & Links