Danielle Lima Feitosa
Papers
1
Total Citations
4
H-Index
1
About
Danielle Lima Feitosa is a robotics researcher whose work focuses on assistive technologies for individuals with physical disabilities, particularly those with upper extremity impairments. Her key research areas include wheelchair-mounted robotic arms (WMRA), fuzzy logic control, and human-robot interaction. Her most notable contribution is the development of a fuzzy logic-based control system for two-link robotic arms, designed to enhance the independence and social participation of people with spinal cord injuries or amputations. This work, published in 2018, has garnered 4 citations and represents a significant step toward practical, user-friendly assistive robotics. Feitosa's research addresses the critical challenge of improving daily living activities for individuals with limited upper limb function, offering a pathway to greater autonomy. Her approach combines robust control theory with adaptive, human-centered design, making her a promising voice in the field of rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1Control of a Two-link Robotic Arm using Fuzzy Logic4 citations · 2018