Awesome Discrete Mathematics

Free-configuration Biased Sampling for Motion Planning: Errata (2013)

Joshua Bialkowski and Michael Otte and Emilio Frazzoli

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A Graph Isomorphism-based Decentralized Algorithm for Modular Robot Configuration Formation (2016)

Ayan Dutta et al.

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Revisiting the Asymptotic Optimality of RRT$^*$ (2019)

Kiril Solovey et al.

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Predicting Sample Collision with Neural Networks (2020)

Tuan Tran et al.

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Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments (2020)

Jiahui Lin et al.

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Exploiting collisions for sampling-based multicopter motion planning (2020)

Jiaming Zha and Mark W. Mueller

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Learning and Using Abstractions for Robot Planning (2020)

Naman Shah et al.

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Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model (2020)

Zhaoting Li et al.

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Cost-to-Go Function Generating Networks for High Dimensional Motion Planning (2020)

Jinwook Huh et al.

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An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios (2021)

Chengmin Zhou et al.

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Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients (2021)

Arbaaz Khan et al.

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Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics (2021)

Oliver Speidel et al.

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LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments (2021)

Yuki Shirai et al.

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Learning When to Quit: Meta-Reasoning for Motion Planning (2021)

Yoonchang Sung et al.

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Anytime informed path re-planning and optimization for robots in changing environments (2021)

Cesare Tonola et al.

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A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks (2021)

Hossein Karami and Antony Thomas and Fulvio Mastrogiovanni

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PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms (2021)

Alexandru-Iosif Toma et al.

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A Reinforcement Learning based Path Planning Approach in 3D Environment (2021)

Geesara Kulathunga

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Motion Planning Transformers: A Motion Planning Framework for Mobile Robots (2021)

Jacob J. Johnson et al.

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CPPNet: A Coverage Path Planning Network (2021)

Zongyuan Shen and Palash Agrawal and James P. Wilson and Ryan Harvey and Shalabh Gupta

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SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments (2021)

Zongyuan Shen et al.

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Learning-based Fast Path Planning in Complex Environments (2021)

Jianbang Liu et al.

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Spatial Constraint Generation for Motion Planning in Dynamic Environments (2021)

Han Hu (1) and Peyman Yadmellat (2) ((1) University of Toronto et al.

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Stein Variational Probabilistic Roadmaps (2021)

Alexander Lambert et al.

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Neural Motion Planning for Autonomous Parking (2021)

Dongchan Kim and Kunsoo Huh

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Learning to Search in Task and Motion Planning with Streams (2021)

Mohamed Khodeir and Ben Agro and Florian Shkurti

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Differentiable Spatial Planning using Transformers (2021)

Devendra Singh Chaplot et al.

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G$ \mathbf{^2} $VD Planner: Efficient Motion Planning With Grid-based Generalized Voronoi Diagrams (2022)

Jian Wen et al.

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Collision-free Path Planning in the Latent Space through cGANs (2022)

Tomoki Ando et al.

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KC-TSS: An Algorithm for Heterogeneous Robot Teams Performing Resilient Target Search (2022)

Minkyu Kim et al.

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Direct B\'ezier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments (2022)

Lorenzo Gentilini et al.

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Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests (2022)

Laura Jarin-Lipschitz et al.

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Dynamic Free-Space Roadmap for Safe Quadrotor Motion Planning (2022)

Junlong Guo et al.

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Two-step Planning of Dynamic UAV Trajectories using Iterative $\delta$-Spaces (2022)

Sebastian Schr\"ader et al.

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Is it Worth to Reason about Uncertainty in Occupancy Grid Maps during Path Planning? (2022)

Jacopo Banfi et al.

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Parting with Misconceptions about Learning-based Vehicle Motion Planning (2023)

Daniel Dauner et al.

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Awesome Discrete Mathematics

Key papers

Discrete Mathematics

Awesome Discrete Mathematics

Key papers