Bruno Monteiro Rocha Lima
Papers
8
Total Citations
71
H-Index
6
About
Bruno Monteiro Rocha Lima is a robotics researcher whose work sits at the intersection of tactile sensing, dexterous manipulation, and human-robot interaction. His research focuses on developing intelligent robotic systems capable of replicating the nuanced sensory capabilities of the human hand, with particular emphasis on multimodal tactile sensing, teleoperation, and texture classification. Lima has made significant contributions to the design and control of anthropomorphic robotic hands, most notably through the "Ring Ada" platform — an open-source, tendon-driven robotic hand that incorporates haptic feedback for teleoperated grasping. His work on texture classification using tactile-enabled fingers and a comprehensive multimodal tactile dataset (each earning 11 citations) advances the field of robot perception in unstructured environments. His bioinspired tactile sensing modules have demonstrated versatility across diverse applications, from surface approximation tasks to heart rate detection, reflecting both technical creativity and interdisciplinary thinking. Collectively accumulating over 70 citations, Lima's research demonstrates a consistent commitment to bridging biological inspiration with practical robotic engineering. His explorations of neuro-fuzzy and postural synergy-based control strategies further underscore his interest in making robotic manipulation more adaptive, autonomous, and accessible for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Teleoperated Grasping Using a Robotic Hand and a Haptic-Feedback Data Glove13 citations · 2020
- 2
- 3A multimodal tactile dataset for dynamic texture classification11 citations · 2023
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- 6Heart Rate Detection Using a Multimodal Tactile Sensor and a Z-score Based Peak Detection Algorithm7 citations · 2019
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