RESONATE: a Real Social Navigation Testbed for Autonomous Service Robots
Overview
This research presents RESONATE, a reproducible benchmark for human-aware navigation of autonomous service robots. The testbed utilizes a unified robotic platform and ROS 2 software stack to evaluate eight controller configurations across eight scenarios with five repetitions each, totaling 320 physical experiments. Results identify DWA with Gaussian social costmaps as reliable and SFM-MPPI as offering the best balance between robustness, efficiency, and social acceptance, providing reusable baselines and data for advancing socially aware navigation research.
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“arXiv:2611.02937v1 Announce Type: new Abstract: Social navigation is essential for autonomous service robots operating in human environments, but progress remains constrained by the lack of extensive real-world benchmarks. This paper presents the Real Social Navigation Testbed (RESONATE), a reproducible benchmark for human-aware navigation based on a unified robotic platform, a shared ROS 2 software stack, precise tr”
Exact source · revision 1Source owner not reported
Reported quantity · physical experiments: 320 other · reported trials
“ajectory ground truth, and structured social interaction scenarios. We evaluate eight controller configurations, combining classical and predictive local planners with different social modeling strategies, over eight representative scenarios with five repetitions each, yielding 320 physical experiments. The benchmark combines quantitative navigation and social metrics with participant-based qualitative assessments to”
Exact source · revision 1Source owner not reported
Reported quantity · scenarios: 8 other · Basis not reported
“ajectory ground truth, and structured social interaction scenarios. We evaluate eight controller configurations, combining classical and predictive local planners with different social modeling strategies, over eight representative scenarios with five repetitions each, yielding 320 physical experiments. The benchmark combines quantitative navigation and social metrics with participant-based qualitative assessments to”
Exact source · revision 1Source owner not reported
Reported quantity · repetitions per scenario: 5 other · Basis not reported
“ajectory ground truth, and structured social interaction scenarios. We evaluate eight controller configurations, combining classical and predictive local planners with different social modeling strategies, over eight representative scenarios with five repetitions each, yielding 320 physical experiments. The benchmark combines quantitative navigation and social metrics with participant-based qualitative assessments to”
Exact source · revision 1Source owner not reported
Reported quantity · controller configurations: 8 other · Basis not reported
“ajectory ground truth, and structured social interaction scenarios. We evaluate eight controller configurations, combining classical and predictive local planners with different social modeling strategies, over eight representative scenarios with five repetitions each, yielding 320 physical experiments. The benchmark combines quantitative navigation and social metrics with participant-based qualitative assessments to”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalRESONATE: a Real Social Navigation Testbed for Autonomous Service Robots
This research presents RESONATE, a reproducible benchmark for human-aware navigation of autonomous service robots. The testbed utilizes a unified robotic platform and ROS 2 software stack to evaluate eight controller configurations across eight scenarios with five repetitions each, totaling 320 physical experiments. Results identify DWA with Gaussian social costmaps as reliable and SFM-MPPI as offering the best balance between robustness, efficiency, and social acceptance, providing reusable baselines and data for advancing socially aware navigation research.
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