Eric Rombokas
Papers
16
Total Citations
228
H-Index
10
About
Eric Rombokas is a robotics and biomedical engineering researcher whose work spans tendon-driven robotic systems, prosthetics, reinforcement learning, and soft robotics. He is perhaps best known for his pioneering contributions to the control of the Anatomically Correct Testbed (ACT) Hand, a biomechanically realistic robotic hand that served as a platform for exploring synergy-based and reinforcement learning control strategies. His early work demonstrated how dimensionality reduction techniques inspired by neuroscience — particularly the concept of muscle synergies — could make high-dimensional, nonlinear tendon-driven systems tractable for robotic control, garnering over 30 citations per paper. Rombokas also made meaningful contributions to prosthetics research, investigating how vibrotactile and pressure-based sensory feedback can improve prosthetic hand manipulation, and developing mode-free controllers for lower-limb prostheses navigating unstructured terrain. More recently, his research has pushed into soft robotics, introducing innovations such as negshell casting for streamlined fabrication and recurrent neural network-based proprioception for soft actuators. Across more than a decade of research, Rombokas has consistently bridged biological inspiration with practical engineering, advancing both robotic dexterity and assistive technology for individuals with limb loss.
Research Focus
Key Achievements
Top Papers
- 1Reinforcement Learning and Synergistic Control of the ACT Hand33 citations · 2012
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- 5A Framework For Mode-Free Prosthetic Control For Unstructured Terrains19 citations · 2019
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- 7Reduced dimensionality control for the ACT hand14 citations · 2012
- 8Tendon-Driven Variable Impedance Control Using Reinforcement Learning12 citations · 2012
- 9
- 10Tendon-Driven Variable Impedance Control Using Reinforcement Learning10 citations · 2013