Papers
2
Total Citations
11
H-Index
2
About
Anna Prach is a researcher whose work sits at the intersection of robotics, mechatronics, and human-machine interaction, with a particular focus on improving the dexterity and safety of prosthetic and robotic hands. Her key contributions center on the critical problem of slip suppression—the ability for a robotic gripper or prosthetic hand to detect and react to an object beginning to slip from its grasp. In her most-cited work, "Slip suppression in prosthetic hands using a reflective optical sensor and MPI controller" (2018, 7 citations), Prach introduced a novel low-level control system that acts like a human reflex, using an optical sensor to detect fast transient slip events and a Monotonic PI (MPI) controller to instantly adjust grip force, preventing accidents without excessive force. She further refined this approach in a 2017 paper (4 citations) by applying a Pareto-front analysis to optimize the trade-off between minimizing slip distance and avoiding unnecessary force. This systematic, multi-objective approach to control law design is a notable achievement, demonstrating a sophisticated understanding of both the hardware and software challenges in creating more reliable, human-like robotic manipulation.
Research Focus
Key Achievements
Top Papers
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