Yerkebulan Massalim

Nazarbayev University, Ministry of Education and Science of the Republic of Kazakhstan

Papers

Total Citations

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About

Yerkebulan Massalim is a researcher advancing the field of robotic tactile perception and manipulation. His work focuses on developing robust sensing and recognition algorithms that enable robots to interact more safely and intelligently with their environment. A key contribution is his highly cited paper, "Robust Detection of Absence of Slip in Robot Hands and Feet" (2021, 11 citations), which introduces an algorithm that uses data from multiple independent sensors to reliably determine if a grip or footstep is secure. This work is critical for preventing falls and dropped objects in dynamic settings. Massalim has also made significant strides in object recognition, as shown in "Deformable Object Recognition Using Proprioceptive and Exteroceptive Tactile Sensing" (2019, 5 citations), where he demonstrates how combining internal and external sensing can distinguish deformable from rigid objects. Furthermore, his research on "Array of Accelerometers as a Dynamic Vibro-Tactile Sensing for Assessing the Slipping Noise" (2019, 4 citations) addresses the challenge of differentiating between object slippage and external sliding events. By leveraging vibration data, Massalim is creating more nuanced and reliable tactile feedback systems, paving the way for robots that can handle delicate and unpredictable tasks with greater dexterity.