Martin Muller
Papers
1
Total Citations
5
H-Index
1
About
Martin Muller is a robotics researcher whose work focuses on intuitive human-robot interaction, particularly through vision-based control systems. His most cited paper, "Humanoid Robot Upper Limb Control Using Microsoft Kinect" (2017, 5 citations), introduces a novel mimicry system that allows humanoid robots to replicate human upper limb movements in real time. This research addresses a fundamental challenge in robotics: moving beyond traditional input devices like keyboards and joysticks toward more natural, gesture-driven control interfaces. By leveraging the Microsoft Kinect sensor, Muller's work demonstrates how accessible consumer hardware can be repurposed for sophisticated robotic control, reducing barriers to entry in humanoid robotics research. While his citation count is modest, his contribution is significant for its practical approach to democratizing robot control systems. Muller's research sits at the intersection of computer vision, human-robot interaction, and mechatronics, offering a pathway toward more intuitive and accessible robotic systems that can learn from and respond to human demonstrators.
Research Focus
Key Achievements
Top Papers
- 1Humanoid robot upper limb control using microsoft kinect5 citations · 2017