Pranav Atreya
Papers
3
Total Citations
58
H-Index
3
About
Pranav Atreya is a rising star in robotics, whose work is pushing the boundaries of autonomous navigation and manipulation. His research centers on two critical challenges: enabling high-speed, accurate off-road navigation by learning complex vehicle-terrain dynamics, and achieving zero-shot robotic manipulation in unstructured environments. Atreya's major contributions include the development of VI-IKD, a visual-inertial inverse kinodynamics framework that allows ground vehicles to navigate at high speeds across dramatically varying terrains (31 citations). He further advanced this field with a method combining learned forward kinodynamics with non-linear least squares optimization for precise high-speed control (17 citations). In manipulation, Atreya introduced SuSIE, a pioneering approach that leverages pretrained image-editing diffusion models to enable robots to manipulate novel objects without any task-specific training data (10 citations). This work represents a significant leap toward generalist robots capable of reasoning about unseen scenarios. Atreya's innovative fusion of learning-based kinodynamics with diffusion models marks him as a key contributor to the next generation of agile, adaptable autonomous systems.
Research Focus
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Top Papers
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