HomeLoop: A Simulation Framework and Benchmark for Robot-IoT Coordination in Everyday Domestic Assistance and Safety
Overview
This paper introduces HomeLoop, a simulation framework and benchmark built on Isaac Sim designed to evaluate robot-IoT coordination in domestic environments.
Generated from attributed reports · Updated 14 minutes ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“o fulfill their potential, they need to integrate with existing smart infrastructure and reason through ambiguous scenarios: a smoke alarm may come from a pan about to ignite, a pan already on fire, a resident cooking or a faulty sensor, and each calls for a different response. To that end, we introduce HomeLoop, a simulation framework and benchmark built on Isaac Sim that combines robot bodies, networked devices and”
Exact source · revision 1Source owner not reported
Reported quantity · home layouts: 2100 other · Basis not reported
“ended for use in research on robot-IoT coordination, long-term memory, proactive assistance, and privacy-safety trade-offs. HomeLoop will be released with 2,100 home layouts that can be automatically furnished in diverse configurations, five robot bodies and 20 networked device types.”
Exact source · revision 1Source owner not reported
Reported quantity · Robot count: 5 robots · Basis not reported
“ended for use in research on robot-IoT coordination, long-term memory, proactive assistance, and privacy-safety trade-offs. HomeLoop will be released with 2,100 home layouts that can be automatically furnished in diverse configurations, five robot bodies and 20 networked device types.”
Exact source · revision 1Source owner not reported
Reported quantity · networked device types: 20 other · Basis not reported
“ended for use in research on robot-IoT coordination, long-term memory, proactive assistance, and privacy-safety trade-offs. HomeLoop will be released with 2,100 home layouts that can be automatically furnished in diverse configurations, five robot bodies and 20 networked device types.”
Exact source · revision 1Source owner not reported
Reported quantity · tasks: 20 other · Basis not reported
“wearables, simulated residents and visitors, faulty sensors, and hazards that evolve over time. Our benchmark is composed of 20 tasks across five families grounded in real-world household hazards and needs, and designed so that the same alert can have different causes. A runtime monitor scores each episode with temporal-logic checks on the final outcome and the actions along the way, and every action carries a prede”
Exact source · revision 1Source owner not reported
Reported quantity · families: 5 other · Basis not reported
“wearables, simulated residents and visitors, faulty sensors, and hazards that evolve over time. Our benchmark is composed of 20 tasks across five families grounded in real-world household hazards and needs, and designed so that the same alert can have different causes. A runtime monitor scores each episode with temporal-logic checks on the final outcome and the actions along the way, and every action carries a prede”
Exact source · revision 1Source owner not reported
Reported quantity · VLMs evaluated: 6 other · Basis not reported
“fined cost. We evaluate six open-weight and proprietary VLMs. The best achieves a family-balanced score of 61.9%, and across models we see a pattern of over-reaction: failed episodes involving prohibited interventions outnumber those involving missed required interventions by more than two to one, with models often shutting off the stove before investigating the alarm's cause. HomeLoop is an extensible foundation int”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalHomeLoop: A Simulation Framework and Benchmark for Robot-IoT Coordination in Everyday Domestic Assistance and Safety
This paper introduces HomeLoop, a simulation framework and benchmark built on Isaac Sim designed to evaluate robot-IoT coordination in domestic environments.
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