Papers
1
Total Citations
10
H-Index
1
About
M. de Haas investigates the intersection of robotic manipulation and human-robot interaction, with a particular focus on variable-stiffness actuation for delicate object handling. Their most-cited work, "Human-Robotic Variable-Stiffness Grasps of Small-Fruit Containers Are Successful Even Under Severely Impaired Sensory Feedback" (2018, 10 citations), demonstrates how variable-stiffness actuators (VSAs) enable robots to successfully grasp fragile items like small-fruit containers, even when sensory feedback is severely compromised. This research highlights the intrinsic elasticity of VSAs, which allows robots to adapt to object shapes and withstand environmental collisions during grasp acquisition—a critical advancement for applications in grocery handling and other domains requiring gentle yet robust manipulation. By showing that variable-stiffness grasps remain effective under impaired sensory conditions, de Haas’s work underscores the potential for more resilient and adaptable robotic systems in real-world settings. Their contributions are particularly relevant for students and researchers interested in soft robotics, adaptive control, and human-robot collaboration, offering a pathway toward safer and more versatile robotic grasping in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1