Megha Tippur

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About

Megha Tippur is a robotics researcher whose work centers on advancing robotic dexterity, specifically the ability to manipulate objects within a robot’s hand. Her primary contributions lie in in-hand reorientation and tactile-reactive grasping. Her most influential work, "Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes" (2023), with 82 citations, demonstrates a system that uses vision to reorient unfamiliar objects, a critical step toward enabling robots to use tools in unstructured environments. This work moves beyond prior constraints by handling complex shapes without requiring object-specific models. Tippur also leads innovation in hardware design with the "Tactile-Reactive Roller Grasper" (2025, 6 citations), a non-anthropomorphic hand that uses steerable, motorized rolling fingertips. This design achieves six-degree-of-freedom mobility and closed-loop control, allowing for dynamic, reactive manipulation. By integrating tactile feedback, the grasper can adjust its grip in real-time, enhancing stability and precision. Tippur’s research directly addresses a core bottleneck in robotics—the gap between simple grasping and true dexterous manipulation—making her work foundational for future applications in manufacturing, healthcare, and service robotics.