Gabriel M. Bandeira
Papers
1
Total Citations
11
H-Index
1
About
Gabriel M. Bandeira is a researcher in human-robot interaction, with a focus on gesture-based interfaces that make robot control more intuitive and accessible. His most-cited work, "Using Gesture-Based Interfaces to Control Robots" (2015), has garnered 11 citations and explores how natural human movements can replace traditional joysticks or programming commands, enabling more fluid collaboration between people and machines. Bandeira’s contributions lie in bridging the gap between human cognition and robotic systems, designing interfaces that reduce the learning curve for operators and enhance real-time responsiveness. His research has implications for assistive robotics, manufacturing, and teleoperation, where intuitive control is critical. While his citation count reflects a focused but growing impact, Bandeira’s work stands out for its practical approach to making robots more user-friendly, a key challenge in modern robotics. He continues to investigate how gesture recognition and machine learning can further refine these interactions, positioning him as a thoughtful voice in the field of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Using Gesture-Based Interfaces to Control Robots11 citations · 2015