Manfred Grafinger
Papers
1
Total Citations
9
H-Index
1
About
Manfred Grafinger is a researcher working at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on developing intelligent systems that enable seamless collaboration between humans and robotic agents. His most recognized contribution, "Object-Independent Human-to-Robot Handovers Using Real Time Robotic Vision" (2020), demonstrates his commitment to building practically applicable robotic solutions. In this work, Grafinger and his colleagues tackled one of robotics' persistent challenges — enabling robots to safely and reliably receive objects from humans regardless of the object type. By combining a generic object detector, a fast grasp selection algorithm, and a single gripper-mounted RGB-D camera, the approach avoids dependence on specialized setups, pushing toward real-world deployment. The paper has garnered 9 citations, reflecting growing interest in accessible and generalizable human-robot handover frameworks. Grafinger's research philosophy appears grounded in practicality — prioritizing systems that work across diverse conditions rather than narrowly defined scenarios. His contributions are particularly valuable for students and engineers exploring collaborative robotics, manipulation planning, and real-time vision systems in dynamic, human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1