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About

Martin Meier is a leading researcher in robotic tactile sensing and dexterous manipulation, whose work bridges the gap between soft sensor hardware and intelligent control. His primary research areas include tactile sensor design, slip detection, and in-hand object manipulation. Meier’s most impactful contribution is the development of barometer-based tactile skins, notably for the Shadow Dexterous Hand’s palm, which achieved significant improvements in sensitivity and linearity (2020, 29 citations). His pioneering work on tactile convolutional networks for online slip and rotation detection (2016, 60 citations) has become a cornerstone for robotic grasp stability, enabling real-time distinction between sliding and slipping during object pushing (2016, 28 citations). Meier also advanced soft robotics with a fabric-based, piezoresistive tactile skin that mimics human epidermal texture (2015, 26 citations), and developed feedback-based methods for manipulating unknown objects in hand (2013, 16 citations). His innovative self-protection algorithm for tendon-driven hands, inspired by human muscle fatigue (2017, 6 citations), demonstrates his commitment to durable, practical robotic systems. With over 170 total citations, Meier’s work is essential reading for anyone interested in tactile intelligence and robust robotic manipulation.