Ramya Challa

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About

Ramya Challa is a researcher at the intersection of human-robot interaction and expressive motion planning, with a focus on how robots can communicate intent and emotion through non-verbal cues. Her most cited work, "Take it! Exploring Cartesian Features for Expressive Arm Motion" (2024), introduces a novel framework for designing robot arm trajectories that convey meaning through spatial features. By conducting a controlled user study with three distinct objects—a flower, a dagger, and water—Challa systematically evaluated how Cartesian paths (high, low, direct, and side arcs) influence human perception of robot intent. Her findings reveal that subtle variations in trajectory geometry can dramatically alter how people interpret a robot's action, from gentle offering to threatening gesture. This work bridges classical path-planning concepts with social robotics, offering designers a principled vocabulary for crafting expressive motions. With 2 citations in its first year, this paper is already shaping discussions in affective computing and human-robot collaboration. Challa’s contributions are particularly valuable for students and engineers seeking to make robots not just functional, but intuitively communicative in shared spaces.