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About

Raj Kumar Gudivaka is an emerging researcher whose work sits at the dynamic intersection of robotics, artificial intelligence, and healthcare technology. His research spans multi-robot systems, Internet of Robotic Things (IoRT) networks, and AI-driven medical diagnostics, positioning him as a versatile contributor to both autonomous systems and biomedical engineering. Among his most notable contributions is his 2024 work on coordinated multi-robot space exploration utilizing the Slime Mould Algorithm, which addresses critical challenges in autonomous navigation and communication planning for unknown environments — a paper that has already garnered 5 citations. His investigations into smart IoRT networks integrate cutting-edge technologies including swarm robotics, LiDAR mapping, Time-Sensitive Networking, and thermal imaging to build adaptive, energy-efficient robotic ecosystems. Gudivaka has also made meaningful strides in medical robotics, developing AI-powered frameworks for breast cancer classification and IoMT-enabled surgical monitoring systems that leverage advanced deep learning architectures. These contributions reflect a commitment to translating autonomous systems research into real-world clinical impact. With a rapidly growing body of work published across 2024–2025, Gudivada demonstrates exceptional productivity and interdisciplinary breadth, making him a researcher well worth following in the evolving landscape of intelligent robotics.