Dhruv Parikh

Papers

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About

Dhruv Parikh is a researcher at the intersection of computer vision, robotics, and human-computer interaction, with a focus on enabling intelligent, real-time decision-making in autonomous systems. His most impactful work introduces Vision Transformers for end-to-end vision-based quadrotor obstacle avoidance, demonstrating that attention-based architectures can outperform traditional convolutional networks in high-speed, cluttered environments. This research, which has garnered over 11 citations across multiple versions, is pivotal for advancing agile, vision-driven UAV navigation without reliance on explicit mapping or planning. Parikh also explores affective computing through an Emotion Based Music Recommendation System, which uses facial expression recognition to personalize user experiences—a project that bridges machine perception and everyday technology. By tackling both autonomous flight in dense spaces and emotionally aware interfaces, Parikh’s work showcases a versatile approach to deploying deep learning in resource-constrained, real-world settings. His contributions are particularly notable for pushing the boundaries of transformer models beyond natural language processing into high-stakes robotics, offering a scalable path toward safer, more responsive autonomous agents.