Jeremy Brown
Johns Hopkins University, MD·Biomedical Engineering·Early-career
Touch tells us how hard we are pressing or gripping. It matters for a surgeon handling delicate tissue and for a person picking up an egg.
- Fields
Biomedical Engineering
Engineering
Medicine & Clinical Research
- Topics
haptics
haptic feedback
robotic minimally invasive surgery
- Grants
- 2 known grants, through Aug 2028
What they work on
- Speed up how robotic-surgery trainees learn to judge tissue forces by sight, by giving them titrated extra haptic feedback of tool–tissue forces and contact vibrations in user studies.
- Develop and validate structured human grading and data-driven methods to assess and predict visual-haptic acuity, checking them against surgical task performance on cadaver tissue.
- Model an amputee's task intent from physiological signals and measurements of the hand's interaction with objects, using data-driven approaches.
- Derive and test impedance control and haptic feedback strategies for upper-limb prostheses that adapt to the wearer's intent and the task context.
More about the research
Robotic surgery tools and motorized prosthetic hands, however, mostly take away this haptic (touch-based) feedback. Both of these projects ask how to restore or train that missing sense of force, so that people can use robotic tools and artificial limbs safely and skillfully.
Why it matters
The surgical training tool could help ensure every robotic surgeon masters tissue handling, regardless of robot platform. That could reduce iatrogenic tissue injury, meaning accidental damage caused during care. The prosthesis research could give people with limb loss, including military veterans, artificial hands that sense touch and help with everyday tasks. It may also inform other assistive devices that help injured people return to work.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Jonathan Realmuto
University of California-Riverside, CA·Engineering
Design soft robotic actuators whose passive mechanical properties enable direct impedance modulation — control of joint stiffness and compliance — drawing on muscle topology, for upper-limb wearable robots arranged parallel to the joints.
Myunghee Kim
University of Illinois Chicago, IL·Biomedical Engineering·Early-career
Build and evaluate a personalized robotic prosthesis for people with below-knee amputations that combines adaptive optimization with biofeedback so assistance adjusts in real time to each user's movement patterns.
Jake Abbott
University of Utah, UT·Engineering
Characterize the natural and motor-driven dynamics of the magnetic cogging parallel-elastic actuator (MC-PEA), a motor paired with magnetic springs that hold stable positions at no energy cost, and develop efficient control methods.
The school
Johns Hopkins University: 100 labs on PI Pages, $4.1B a year on research, 622 research doctorates a year.
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