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New Orienteering Problem Framework Addresses Uncertain Rewards for Robots

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new variant of the orienteering problem called OP-UTVR, which accounts for uncertain and time-varying rewards. This framework is designed for applications like mobile service robots that need to make routing decisions based on shifting customer demand or other stochastic reward changes. The study proposes three planners with varying planning horizons and online adaptivity, along with theoretical performance bounds. A benchmark for mobile service robots navigating indoor environments was also developed to test these planners, revealing trade-offs between planning horizon and adaptivity. AI

IMPACT This research could lead to more efficient and adaptive routing for service robots in dynamic environments.

RANK_REASON The cluster contains a research paper detailing a new framework and benchmark for a specific problem in robotics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Orienteering Problem Framework Addresses Uncertain Rewards for Robots

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The cluster contains a research paper detailing a new framework and benchmark for a specific problem in robotics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Masafumi Endo, Kohei Honda, Yuu Jinnai, Ryo Yonetani ·

    Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics

    arXiv:2608.18672v1 Announce Type: cross Abstract: We present the orienteering problem with uncertain time-varying rewards (OP-UTVR), a novel variant of the orienteering problem (OP). While most existing OP formulations assume rewards to be known in advance, practical applications…

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