Differentiable Gaussian Process Motion Planning

By Editorial Team · October 1, 2026 · 5 min read

Differentiable Gaussian Process Motion Planning Information Guide

  1. Introduction of Differentiable Gaussian Process Motion Planning
  2. Core Information
  3. Recent Updates
  4. Expert Insights
  5. Summary

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Core Information

Gaussian Process Motion Planning Update
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Information A Gaussian Variational Inference Approach To Motion Planning Update
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Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation
Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation
Adaptive Exploration-Exploitation Active Learning of Gaussian Processes
Adaptive Exploration-Exploitation Active Learning of Gaussian Processes
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning
GPMP2 - RSS 2016 Slides
GPMP2 - RSS 2016 Slides
Mustafa Mukadam - Differentiable motion planning
Mustafa Mukadam - Differentiable motion planning
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference
IROS 2019 - Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
IROS 2019 - Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Uncertainty-aware Safe Planning using Gaussian Process and Neural Control Contraction Metric
Uncertainty-aware Safe Planning using Gaussian Process and Neural Control Contraction Metric
Gaussian Processes
Gaussian Processes

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Last Updated: October 1, 2026

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Full Motion Planning with Graph-Based Trajectories and Gaussian Process Inference Update
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Summary

Proceedings of International Conference on Robotics and Automation (ICRA), 2020 Authors - Mohak Bhardwaj, Byron Boots and ... This work appears in the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2016. Authors ... This article is submitted to IROS2021. we extend a famous George P. Kontoudis, Michael Otte, “Adaptive Exploration-Exploitation Active Learning of Talk abstract: In robotics and more specifically This research considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic ... Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan In this paper, we consider the problem of using a ...

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