Michael Stachowsky

Papers

Total Citations

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About

Michael Stachowsky is a roboticist whose research focuses on the intersection of autonomous manipulation, grasping, and tactile sensing. His most influential work, "A Slip Detection and Correction Strategy for Precision Robot Grasping" (2016, 79 citations), introduces a novel grasp force regulation strategy that operates without prior knowledge of object properties or surface characteristics. This approach, applicable to a wide range of grippers, combines a slip signal detector with a correction mechanism, enabling robots to maintain stable precision grasps in unstructured environments. Stachowsky also contributed to "An Object Exploration Strategy for COM and Mass Determination for Robot Grasping" (2015, 9 citations), which develops methods for robots to autonomously estimate an object's center of mass and weight through tactile exploration—critical for safe and effective manipulation. His work addresses fundamental challenges in dexterous robotics, bridging the gap between theoretical control and practical implementation. By enabling robots to adapt to unknown objects in real-time, Stachowsky’s research has implications for manufacturing, assistive robotics, and autonomous systems. His contributions are particularly valued for their emphasis on robustness and generality, making them foundational for future advancements in intelligent grasping.