Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.
Frontier-based exploration using multiple robots,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
DM³-Nav delivers decentralized multi-agent semantic navigation for multimodal open-vocabulary multi-object tasks that matches centralized baselines in simulation and succeeds in real-world robot deployments.
PRoID uses learned map predictions to compute each robot's expected information delivery rate and triggers relay when immediate return is better, with a failure-aware variant that biases toward earlier returns.
citing papers explorer
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Multi-Floor Exploration for Ground Robots via an Incremental Reachable Graph and Structural Priors
Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.
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DM$^3$-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation
DM³-Nav delivers decentralized multi-agent semantic navigation for multimodal open-vocabulary multi-object tasks that matches centralized baselines in simulation and succeeds in real-world robot deployments.
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PRoID: Predicted Rate of Information Delivery in Multi-Robot Exploration and Relaying
PRoID uses learned map predictions to compute each robot's expected information delivery rate and triggers relay when immediate return is better, with a failure-aware variant that biases toward earlier returns.