Abstraction-Based Planning for Uncertainty-Aware Legged Navigation

Article Properties
Cite
Jiang, Jesse, et al. “Abstraction-Based Planning for Uncertainty-Aware Legged Navigation”. IEEE Open Journal of Control Systems, vol. 2, 2023, pp. 221-34, https://doi.org/10.1109/ojcsys.2023.3296000.
Jiang, J., Coogan, S., & Zhao, Y. (2023). Abstraction-Based Planning for Uncertainty-Aware Legged Navigation. IEEE Open Journal of Control Systems, 2, 221-234. https://doi.org/10.1109/ojcsys.2023.3296000
Jiang J, Coogan S, Zhao Y. Abstraction-Based Planning for Uncertainty-Aware Legged Navigation. IEEE Open Journal of Control Systems. 2023;2:221-34.
Journal Categories
Technology
Mechanical engineering and machinery
Technology
Mechanical engineering and machinery
Control engineering systems
Automatic machinery (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Guaranteeing high-level behaviors while exploring partially known maps Robotics
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
2012
Safe exploration in finite Markov decision processes with Gaussian processes 0
A tutorial on sparse gaussian processes and variational inference 0
Building robots that can go where we go 2023
The next generation of boston dynamics' atlas robot is quiet, robust, and tether free 2023
Citations
Title Journal Journal Categories Citations Publication Date
Integrated Task and Motion Planning for Safe Legged Navigation in Partially Observable Environments IEEE Transactions on Robotics
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
2023
Citations Analysis
The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article.