Tessy M. Thomas

Johns Hopkins University

Papers

3

Total Citations

76

H-Index

2

About

Tessy M. Thomas is a pioneering researcher at the intersection of neural engineering and assistive robotics, whose work is redefining what is possible for individuals living with paralysis. Her primary research areas include brain-machine interfaces (BMIs), bimanual robotic control, and somatosensory feedback restoration. Thomas made a landmark contribution with her 2022 study on shared control of bimanual robotic limbs for self-feeding, which demonstrated a novel approach to a notoriously difficult problem—coordinating two robotic arms via neural signals to perform a complex daily task. This work, which has garnered 59 citations, represents a significant leap toward restoring functional independence. She has also advanced the field by showing that bilateral hand gestures can be classified simultaneously from neural recordings in a tetraplegic patient, and her most recent 2024 work explores how artificial touch feedback, delivered through microstimulation of the somatosensory cortex, can convey grip force from a robotic hand. By tackling both motor control and sensory feedback, Thomas is building a more complete framework for next-generation neuroprosthetics, bringing us closer to seamless, intuitive restoration of movement and touch.

Research Focus

Key Achievements

2
H-Index
3
Papers
76
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding
59 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago