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Receding horizon estimation and control with structured noise blocking
  for mobile robot slip compensation

Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation

10 October 2018
Nathan D. Wallace
He Kong
A. Hill
Salah Sukkarieh
ArXiv (abs)PDFHTML

Papers citing "Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation"

6 / 6 papers shown
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile
  Robots via Invariant Kalman Filtering and Disturbance Observer
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance ObserverIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Xihang Yu
Sangli Teng
Theodor Chakhachiro
W. Tong
Ting-Ting Li
Tzu-Yuan Lin
S. Koehler
Manuel Ahumada
Jeffrey M. Walls
Maani Ghaffari
351
19
0
29 Sep 2022
Active Information Acquisition under Arbitrary Unknown Disturbances
Active Information Acquisition under Arbitrary Unknown Disturbances
Jennifer Wakulicz
He Kong
Salah Sukkarieh
202
16
0
19 Sep 2021
Experimental Evaluation of a Hierarchical Operating Framework for Ground
  Robots in Agriculture
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in AgricultureInternational Symposium on Experimental Robotics (ISER), 2021
Stuart Eiffert
Nathan D. Wallace
He Kong
Navid Pirmarzdashti
Salah Sukkarieh
182
4
0
23 May 2021
Resource and Response Aware Path Planning for Long-term Autonomy of
  Ground Robots in Agriculture
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in AgricultureField Robotics (FR), 2021
Stuart Eiffert
Nathan D. Wallace
He Kong
Navid Pirmarzdashti
Salah Sukkarieh
195
27
0
22 May 2021
A Hierarchical Framework for Long-term and Robust Deployment of Field
  Ground Robots in Large-Scale Farming
A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming
Stuart Eiffert
Nathan D. Wallace
He Kong
Navid Pirmarzdashti
Salah Sukkarieh
168
7
0
24 Jun 2020
Path Planning in Dynamic Environments using Generative RNNs and Monte
  Carlo Tree Search
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree SearchIEEE International Conference on Robotics and Automation (ICRA), 2020
Stuart Eiffert
He Kong
Navid Pirmarzdashti
Salah Sukkarieh
291
43
0
30 Jan 2020
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