APEX: affordance-based plan executor for indoor robotic navigation
Author:
Affiliation:
1. Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile
2. Department of Computer Science, Yale University, New Haven, CT, USA
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2024.2353119
Reference31 articles.
1. A statistical approach to simultaneous mapping and localization for mobile robots
2. Visual simultaneous localization and mapping: a survey
3. Probabilistic robotics
4. Chen K Pablo de Vicente J Sepulveda G et al. A behavioral approach to visual navigation with graph localization networks. In: Proceedings of Robotics: Science and Systems; 2019.
5. Sepulveda G Carlos Niebles J Soto A. A deep learning based behavioral approach to indoor autonomous navigation. 2018 IEEE International Conference on Robotics and Automation (ICRA); Brisbane Australia; 2018. p. 4646–4653.
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