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We introduce a learning-based approach for room navigation using semantic maps.
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Carlone, L., Du, J., Ng, M.K., Bona, B., Indri, M.: Active slam and exploration with particle filters using kullback-leibler divergence. Journal of Intelligent & Robotic Systems (2014)
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Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., Leonard, J.J.: Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age. IEEE Transactions on Robotics (2016)
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Bowman, S.L., Atanasov, N., Daniilidis, K., Pappas, G.J.: Probabilistic data association for semantic slam. In: International Conference on Robotics and Automation (ICRA) (2017)
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Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.J., Shamma, D.A., et al.: Visual genome: Connecting language and vision using crowdsourced dense image annotations. International Journal of Computer Vision (IJCV) (2017)
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Wijmans, E., Kadian, A., Morcos, A., Lee, S., Essa, I., Parikh, D., Savva, M., Batra, D.: DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames. In: International Conference on Learning Representations (ICLR) (2020)
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