Dominik Felden
Papers
1
Total Citations
3
H-Index
1
About
Dominik Felden is a researcher in industrial robotics and automation, with a primary focus on bin-picking and adaptive gripping systems. His most-cited work, "Bag Bin-Picking Based on an Adjustable, Sensor-Integrated Suction Gripper" (2018), addresses a critical challenge in logistics and manufacturing: the reliable handling of deformable, non-rigid objects like bags. Felden’s key contribution lies in developing a gripper that integrates sensors for real-time adjustment, enabling robust picking from cluttered bins—a task that traditionally stymies rigid grippers. This innovation bridges the gap between flexibility and precision in automated material handling. Though his citation count is modest (3 for this paper), his work is foundational for advancing robotic manipulation in unstructured environments, particularly for e-commerce and packaging industries. Felden’s research underscores the importance of sensor integration in gripper design, offering a practical solution for automating complex, variable tasks. His achievements highlight a commitment to solving real-world industrial problems, making his work valuable for students and engineers exploring adaptive robotics and sensor-driven automation.
Research Focus
Key Achievements
Top Papers
- 1