Ibrahima Keita

The University of Texas at Austin

Papers

2

Total Citations

27

H-Index

2

About

Ibrahima Keita is a robotics researcher focused on assistive navigation technologies, with a particular emphasis on developing guide dog robots that can match the performance of their animal counterparts. His work addresses the critical challenge of creating cost-effective, mass-producible robotic alternatives to traditional guide dogs, which require extensive training and maintenance. Keita's most cited paper, "System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work" (2023, 25 citations), explores the system architecture and navigation algorithms necessary for robots to perform complex guiding tasks. This research builds on his earlier 2022 paper (2 citations), which laid the groundwork for understanding how robotic guide dogs can overcome limitations of prior studies that lacked real-world guiding considerations. Keita's contributions are notable for their practical approach to human-robot interaction and autonomous navigation in dynamic environments, aiming to make assistive technology more accessible. His work has the potential to significantly impact the lives of visually impaired individuals by providing reliable, low-maintenance mobility aids.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work
25 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago