Fetching the paper…
Reading the bibliography…
Quadrupedal robots have demonstrated exceptional locomotion capabilities through Reinforcement Learning (RL), including extreme parkour maneuvers.
Tao, D., Li, X., Maybank, S.J., Wu, X.: Human carrying status in visual surveillance. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), vol. 2, pp. 1670–1677 (2006). IEEE
2006
Earlier work this paper cites.
Tao, D., Song, M., Li, X., Shen, J., Sun, J., Wu, X., Faloutsos, C., Maybank, S.J.: Bayesian tensor approach for 3-d face modeling. IEEE Transactions on Circuits and Systems for Video Technology 18
2008
Earlier work this paper cites.
Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 41–48 (2009)
2009
Earlier work this paper cites.
Gao, F., Tao, D., Gao, X., Li, X.: Learning to rank for blind image quality assessment. IEEE transactions on neural networks and learning systems 26
2015
Earlier work this paper cites.
Han, J., Zhang, D., Wen, S., Guo, L., Liu, T., Li, X.: Two-stage learning to predict human eye fixations via sdaes. IEEE transactions on cybernetics 46
2015
Earlier work this paper cites.
Pfeiffer, M., Schaeuble, M., Nieto, J., Siegwart, R., Cadena, C.: From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots. In: 2017 Ieee International Conference on Robotics and Automation (icra), pp. 1527–1533 (2017). IEEE
2017
Earlier work this paper cites.
Zhu, Y., Mottaghi, R., Kolve, E., Lim, J.J., Gupta, A., Fei-Fei, L., Farhadi, A.: Target-driven visual navigation in indoor scenes using deep reinforcement learning. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 3357–3364 (2017). IEEE
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Jiang, X., Pang, Y., Li, X., Pan, J., Xie, Y.: Deep neural networks with elastic rectified linear units for object recognition. Neurocomputing 275
2018
Earlier work this paper cites.
Winkler, A.W., Bellicoso, C.D., Hutter, M., Buchli, J.: Gait and trajectory optimization for legged systems through phase-based end-effector parameterization. IEEE Robotics and Automation Letters 3
2018
Earlier work this paper cites.
Faust, A., Oslund, K., Ramirez, O., Francis, A., Tapia, L., Fiser, M., Davidson, J.: Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 5113–5120 (2018). IEEE
2018
Earlier work this paper cites.
Lee, J., Hwangbo, J., Wellhausen, L., Koltun, V., Hutter, M.: Learning quadrupedal locomotion over challenging terrain. Science robotics 5
2020
Earlier work this paper cites.
Kumar, A., Fu, Z., Pathak, D., Malik, J.: Rma: Rapid motor adaptation for legged robots. In: Robotics: Science and Systems (2021)
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
Truong, J., Yarats, D., Li, T., Meier, F., Chernova, S., Batra, D., Rai, A.: Learning navigation skills for legged robots with learned robot embeddings. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 484–491 (2021). IEEE
2021
Earlier work this paper cites.
Wellhausen, L., Hutter, M.: Rough terrain navigation for legged robots using reachability planning and template learning. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6914–6921 (2021). IEEE
2021
Earlier work this paper cites.
Tranzatto, M., Miki, T., Dharmadhikari, M., Bernreiter, L., Kulkarni, M., Mascarich, F., Andersson, O., Khattak, S., Hutter, M., Siegwart, R., et al
2022
Earlier work this paper cites.
Miki, T., Lee, J., Hwangbo, J., Wellhausen, L., Koltun, V., Hutter, M.: Learning robust perceptive locomotion for quadrupedal robots in the wild. Science robotics 7
2022
Earlier work this paper cites.
Rudin, N., Hoeller, D., Reist, P., Hutter, M.: Learning to walk in minutes using massively parallel deep reinforcement learning. In: Conference on Robot Learning, pp. 91–100 (2022). PMLR
2022
Earlier work this paper cites.
Mattamala, M., Chebrolu, N., Fallon, M.: An efficient locally reactive controller for safe navigation in visual teach and repeat missions. IEEE Robotics and Automation Letters 7
2022
Earlier work this paper cites.
Fu, Z., Kumar, A., Agarwal, A., Qi, H., Malik, J., Pathak, D.: Coupling vision and proprioception for navigation of legged robots. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 17273–17283 (2022)
2022
Earlier work this paper cites.
Yang, R., Zhang, M., Hansen, N., Xu, H., Wang, X.: Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers. In: International Conference on Learning Representations (2022). https://openreview.net/forum?id=nhnJ3oo6AB
2022
Earlier work this paper cites.
Rudin, N., Hoeller, D., Bjelonic, M., Hutter, M.: Advanced skills by learning locomotion and local navigation end-to-end. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2497–2503 (2022). IEEE
2022
Earlier work this paper cites.
Xiao, X., Liu, B., Warnell, G., Stone, P.: Motion planning and control for mobile robot navigation using machine learning: a survey. Autonomous Robots 46
2022
Cited alongside, same era.
Li, X.: Positive-incentive noise. IEEE Transactions on Neural Networks and Learning Systems 35
2022
Cited alongside, same era.
Arm, P., Waibel, G., Preisig, J., Tuna, T., Zhou, R., Bickel, V., Ligeza, G., Miki, T., Kehl, F., Kolvenbach, H., et al
2023
Cited alongside, same era.
Kareer, S., Yokoyama, N., Batra, D., Ha, S., Truong, J.: Vinl: Visual navigation and locomotion over obstacles. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 2018–2024 (2023). IEEE
2023
Cited alongside, same era.
He, T., Zhang, C., Xiao, W., He, G., Liu, C., Shi, G.: Agile but safe: Learning collision-free high-speed legged locomotion. In: Robotics: Science and Systems (RSS) (2024)
2024
Later among the works it cites.
Lee, J., Bjelonic, M., Reske, A., Wellhausen, L., Miki, T., Hutter, M.: Learning robust autonomous navigation and locomotion for wheeled-legged robots. Science Robotics 9
2024
Later among the works it cites.
Hoeller, D., Rudin, N., Sako, D., Hutter, M.: Anymal parkour: Learning agile navigation for quadrupedal robots. Science Robotics 9
2024
Later among the works it cites.
Margolis, G.B., Yang, G., Paigwar, K., Chen, T., Agrawal, P.: Rapid locomotion via reinforcement learning. The International Journal of Robotics Research 43
2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2023
Cited alongside, same era.
Karnan, H., Yang, E., Farkash, D., Warnell, G., Biswas, J., Stone, P.: Sterling: Self-supervised terrain representation learning from unconstrained robot experience. In: 7th Annual Conference on Robot Learning (2023)
2023
Cited alongside, same era.
Zhuang, Z., Fu, Z., Wang, J., Atkeson, C., Schwertfeger, S., Finn, C., Zhao, H.: Robot parkour learning. In: Conference on Robot Learning (CoRL) (2023)
2023
Cited alongside, same era.
Grandia, R., Jenelten, F., Yang, S., Farshidian, F., Hutter, M.: Perceptive locomotion through nonlinear model-predictive control. IEEE Transactions on Robotics 39
2023
Cited alongside, same era.
Margolis, G.B., Agrawal, P.: Walk these ways: Tuning robot control for generalization with multiplicity of behavior. In: Conference on Robot Learning, pp. 22–31 (2023). PMLR
2023
Cited alongside, same era.
Agarwal, A., Kumar, A., Malik, J., Pathak, D.: Legged locomotion in challenging terrains using egocentric vision. In: Conference on Robot Learning, pp. 403–415 (2023). PMLR
2023
Cited alongside, same era.
Seo, M., Gupta, R., Zhu, Y., Skoutnev, A., Sentis, L., Zhu, Y.: Learning to walk by steering: Perceptive quadrupedal locomotion in dynamic environments. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 5099–5105 (2023). IEEE
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
Later among the works it cites.
Long, J., Wang, Z., Li, Q., Cao, L., Gao, J., Pang, J.: Hybrid internal model: Learning agile legged locomotion with simulated robot response. In: The Twelfth International Conference on Learning Representations (2024)
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
Zhang, C., Jin, J., Frey, J., Rudin, N., Mattamala, M., Cadena, C., Hutter, M.: Resilient legged local navigation: Learning to traverse with compromised perception end-to-end. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 34–41 (2024). IEEE
2024
Later among the works it cites.
Cheng, J., Vlastelica, M., Kolev, P., Li, C., Martius, G.: Learning diverse skills for local navigation under multi-constraint optimality. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 5083–5089 (2024). IEEE
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
Zhang, H., Huang, S., Guo, Y., Li, X.: Variational positive-incentive noise: How noise benefits models. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)
2025
Closest in time.
Huang, S., Zhang, H., Li, X.: Enhance vision-language alignment with noise. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, pp. 17449–17457 (2025)
2025
Closest in time.