Raihan Islam Arnob
Papers
2
Total Citations
4
H-Index
2
About
Raihan Islam Arnob is a roboticist advancing the frontier of long-lived autonomous systems, with a focus on anticipatory planning and reliable navigation under uncertainty. His research addresses a critical gap in persistent robotics: enabling robots to operate efficiently over extended periods in large-scale, partially known environments, such as homes or warehouses, by considering the long-term consequences of their actions. In his 2025 work "Anticipatory Planning for Performant Long-Lived Robot in Large-Scale Home-Like Environments," Arnob introduces a framework that moves beyond myopic task planning, allowing robots to optimize future task sequences by anticipating how current actions impact later goals—a key step toward truly autonomous household assistants. His earlier 2023 paper, "Improving Reliable Navigation Under Uncertainty via Predictions Informed by Non-Local Information," tackles the challenge of goal-directed navigation in unmapped spaces by leveraging nonlocal cues to predict the utility of temporally extended actions, enhancing robustness in dynamic, uncertain environments. Though early in his career, Arnob’s contributions are already shaping the design of more perceptive and foresightful robots, with each paper garnering initial citations that signal growing interest in his innovative approaches to persistent autonomy and spatial reasoning.
Research Focus
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Top Papers
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