Patrick Rosenberger
Papers
1
Total Citations
9
H-Index
1
About
Patrick Rosenberger is a roboticist whose work centers on human-robot interaction, real-time vision, and autonomous manipulation. His most cited contribution, "Object-Independent Human-to-Robot Handovers Using Real Time Robotic Vision" (2020), with 9 citations, introduces a versatile framework for safe, object-agnostic handovers. By employing a generic object detector, a rapid grasp selection algorithm, and a single gripper-mounted RGB-D camera, Rosenberger eliminates the need for object-specific models or external sensors, significantly advancing the practicality of collaborative robotics. This work demonstrates his commitment to creating robust, generalizable systems that operate in unstructured environments—a critical step toward seamless human-robot teamwork in manufacturing, healthcare, and domestic settings. His approach prioritizes real-time adaptability and safety, addressing key bottlenecks in physical human-robot interaction. Rosenberger’s research is foundational for researchers exploring vision-based manipulation and intuitive robot assistance, offering a scalable solution that reduces hardware complexity while maintaining reliability. His contributions underscore a vision of robots that can fluidly cooperate with humans without requiring exhaustive pre-programming.
Research Focus
Key Achievements
Top Papers
- 1