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Motion planning can be cast as a trajectory optimisation problem where a cost is minimised as a function of the trajectory being generated.
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Ibrahim Al-Bluwi, Thierry Siméon and Juan Cortés · 2012
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“Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization”
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“CHOMP: Covariant Hamiltonian optimization for motion planning” Publisher: SAGE Publications Ltd STM
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Eduardo. Camacho and Carlos Alba · 2013
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“Models and methodology for optimal trajectory generation in safety-critical road–vehicle manoeuvres”
Karl Berntorp, Björn Olofsson, Kristoffer Lundahl and Lars Nielsen · 2014
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“Rough paths, Signatures and the modelling of functions on streams”
“Variational Inference: A Review for Statisticians”
David. Blei, Alp Kucukelbir and Jon. McAuliffe · 2017
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“SGDR: Stochastic Gradient Descent with Warm Restarts”
Ilya Loshchilov and Frank Hutter · 2017
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“Minimum curvature trajectory planning and control for an autonomous race car”
Alexander Heilmeier et al · 2019
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Terry Lyons · 2014
Cited alongside, same era.
“Space-time functional gradient optimization for motion planning”
Arunkumar Byravan, Byron Boots, Siddhartha. Srinivasa and Dieter Fox · 2014
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“Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression”
Tim Barfoot, Chi Hay and Simo Sarkka · 2014
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“A Review of Motion Planning Techniques for Automated Vehicles”
David Gonzalez, Joshue Perez, Vicente Milanes and Fawzi Nashashibi · 2015
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“Aggressive driving with model predictive path integral control”
Grady Williams et al · 2016
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“Stein variational gradient descent: A general purpose bayesian inference algorithm”
Qiang Liu and Dilin Wang · 2016
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“Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces”
Zita Marinho et al · 2016
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“Kernels for Sequentially Ordered Data”
Franz Kiraly and Harald Oberhauser · 2019
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“Varieties of Signature Tensors”
Carlos Améndola, Peter Friz and Bernd Sturmfels · 2019
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“PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation” ISSN: 1551-2541
Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma and Jaakko Lehtinen · 2020
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“DISCO: Double Likelihood-Free Inference Stochastic Control”
Lucas Barcelos et al · 2020
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“Stein Variational Model Predictive Control”
Alexander Lambert et al · 2020
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“Asymptotically Optimal Sampling-Based Motion Planning Methods”
Jonathan. Gammell and Marlin. Strub · 2021
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“The Signature Kernel Is the Solution of a Goursat PDE”
Cristopher Salvi et al · 2021
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“Entropy Regularized Motion Planning via Stein Variational Inference” arXiv:2107.05146 [cs]
Alexander Lambert and Byron Boots · 2021
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“Dual online stein variational inference for control and dynamics” tex.bibsource: dblp computer science bibliography, https://dblp.org tex.biburl: https://dblp.org/rec/conf/rss/BarcelosL0BBR21.bib tex.timestamp: Wed, 21 Jul 2021 17:07:40 +0200
Lucas Barcelos et al · 2021
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“A Tutorial on Markov Chain Monte-Carlo and Bayesian Modeling”
Martin. Haugh · 2021
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“MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets”
Constantinos Chamzas et al · 2021
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“Training Diverse High-Dimensional Controllers by Scaling Matrix Adaptation MAP-Annealing”
Bryon Tjanaka, Matthew Fontaine, Aniruddha Kalkar and Stefanos Nikolaidis · 2022
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“A Gaussian variational inference approach to motion planning”
Hongzhe Yu and Yongxin Chen · 2022
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