Christian Eitner
Papers
1
Total Citations
9
H-Index
1
About
Christian Eitner is a researcher in robotics and human-robot interaction, with a focus on developing intelligent manipulation systems for assistive robots operating in everyday environments. His key contributions lie in vision-based trajectory generation and task planning for humanoid robots, enabling them to perform complex object handling tasks such as sorting boxes on shelves or picking items for shopping assistance. His most-cited work, "Task and vision based online manipulator trajectory generation for a humanoid robot" (2008), introduced a method that integrates real-time visual feedback with task constraints to dynamically plan arm movements, allowing robots to adapt to changing environments without pre-programmed paths. This research has garnered 9 citations, reflecting its foundational role in advancing autonomous robotic manipulation for domestic and service applications. Eitner’s work is notable for bridging computer vision and motion planning, contributing to the broader goal of creating robots that can assist humans in daily activities. His achievements underscore a commitment to practical, real-world robotics, making his research valuable for students and engineers exploring adaptive robot control and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1