Raghavv Goel

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About

Raghavv Goel is a robotics researcher whose work bridges autonomous systems and medical imaging, with a focus on enabling machines to perform complex, human-guided tasks. His key research areas include autonomous robotic manipulation, medical ultrasound imaging, and swarm robotics. Goel’s most notable contribution is in autonomous ultrasound scanning, where he developed a system using Bayesian optimization and hybrid force control to allow robots to perform ultrasound procedures without a human radiologist in the loop. This work, published in 2022, has already garnered 27 citations, reflecting its impact on medical robotics and human-robot interaction. In swarm robotics, Goel introduced a leader-and-predator-based steering mechanism that enables human operators to task and split robotic swarms for multiple objectives, a paper cited 14 times since 2019. His research addresses critical challenges in automating delicate medical procedures and scaling multi-robot coordination, making significant strides toward reducing human workload in high-stakes environments. Goel’s work is particularly relevant for students and researchers interested in autonomous systems, medical robotics, and human-swarm interaction, offering practical solutions that blend control theory with real-world applications.