Cybersecurity Challenges in Robotic Systems
Mr. Anil Kumar Gankotiya, Mr. Satish D. Kale, Mr. Kapil Kumar, Dr. Kirti
Mr. Anil Kumar Gankotiya, Mr. Satish D. Kale, Mr. Kapil Kumar, Dr. Kirti
Modern robotic systems combine heterogeneous control elements that operate at different time scales and pursue different local objectives, including hardware protection, servo control, reflex control, safety supervision, motion and task planning, learned policies, remote operatio…
Description This white paper introduces Stability Geometry of Biomimetic Robotics (SG-BR) — a conceptual and computational framework that shifts the focus of biomimetic robotics from anatomical imitation to the principles of adaptive stability. The central hypothesis is that biol…
Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative…
Abstract ULTIMA RATIO is a preliminary architectural study proposing a remotely operated armored tracked rescue vehicle intended for the extraction of firefighters or civilians trapped by rapidly advancing wildfire fronts (burnover scenarios). Rather than introducing novel materi…
This report presents eleven frozen prospective HR7/PFA assessments of emerging artificial intelligence systems across scientific, industrial, enterprise, and frontier research domains. The assessments cover AI-assisted drug discovery, autonomous robotics, enterprise cybersecurity…
FLDR: Fault Line Detection in Robotics FLDR is an open-source Python framework for developing, testing, and evaluating fault detection workflows for robotic inspection systems. The project provides a modular architecture for working with one-dimensional sensor signals, enabling r…