Alejandro Palacios
Papers
1
Total Citations
3
H-Index
1
About
Alejandro Palacios is a robotics researcher whose work bridges human intuition and machine precision, with a focus on human-robot interaction (HRI) and assistive control systems. His most cited work, "Integrating Human Hand Gestures with Vision Based Feedback Controller to Navigate a Virtual Robotic Arm" (2020), introduces a real-time hybrid control algorithm that fuses inertial measurement unit (IMU) data from a Myo Gesture Control Armband with vision-based feedback to intuitively command a 6-DOF Kinova virtual robotic arm. This contribution advances gesture-driven interfaces, enabling more natural and responsive control for applications in rehabilitation, teleoperation, and virtual environments. While his citation count remains modest, Palacios’s work demonstrates a foundational approach to sensor fusion and human-centered robotics, laying groundwork for future studies in intuitive robotic manipulation. His research reflects a commitment to making robotic systems more accessible and adaptive, particularly for users with limited mobility. As the field of HRI evolves, Palacios’s integration of wearable sensors and visual feedback offers a scalable framework for developing smarter, more empathetic robotic assistants.
Research Focus
Key Achievements
Top Papers
- 1