Alcimar Barbosa Soares

Universidade Federal de Uberlândia

Papers

10

Total Citations

86

H-Index

6

About

Alcimar Barbosa Soares is a researcher at the forefront of tactile sensing, bio-inspired robotics, and neuroprosthetics, whose work bridges the gap between biological systems and advanced robotic technologies. His research focuses on developing intelligent sensory systems for robotic manipulators and prosthetic hands, with particular emphasis on slip detection, texture recognition, and grip force control. Soares has made significant contributions by translating neuromorphic and biologically inspired principles into practical engineering solutions — most notably his 2019 work on bio-inspired slip detection and reflex-like suppression in robotic manipulators, which has garnered 26 citations and represents a landmark approach to improving robotic dexterity. His investigations into soft biomimetic fingers for prosthetic applications and neuromorphic tactile texture recognition demonstrate a sustained commitment to advancing human-machine interfaces. Beyond robotics, Soares has explored virtual rehabilitation environments for post-stroke patients, reflecting the breadth of his translational vision. With research spanning neuromorphic computing, piezoresistive sensor arrays, and convolutional neural networks, his cumulative body of work — totaling over 80 citations — positions him as an influential voice shaping the future of intelligent prosthetics and tactile-aware robotic systems.

Research Focus

Key Achievements

6
H-Index
10
Papers
86
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Bio-Inspired Slip Detection and Reflex-Like Suppression Method for Robotic Manipulators
26 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Universidade Federal de Uberlândia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago