Emanuel Munoz-Panduro
Papers
3
Total Citations
12
H-Index
2
About
Emanuel Munoz-Panduro is a robotics researcher whose work bridges the gap between theoretical control systems and practical robotic applications. His primary research focuses on trajectory tracking, autonomous navigation, and torque control for robotic systems, with particular emphasis on ensuring robust performance in the presence of disturbances. His most cited work (2020, 6 citations) compares PD control with gravity compensation against sliding mode control for the UR5 robot, demonstrating critical improvements in trajectory tracking and convergence speed for medical and industrial applications. In a foundational paper on autonomous mobile robots (2018, 4 citations), he developed a framework combining potential fields with polar control to enable collision-free navigation from sensor data to goal achievement. His notable contribution to torque control (2020, 2 citations) addresses the admittance control problem, enabling position-controlled robots to exert precise forces—a capability essential for tasks requiring physical interaction with the environment. Munoz-Panduro’s work is particularly impactful for researchers and engineers developing robots for surgery, manufacturing, and autonomous systems, where reliability and precision are paramount.
Research Focus
Key Achievements
Top Papers
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