{"total":17,"rows":[{"id":"2210.12209","title":"Motion Policy Networks","created":"2022-10-21","cited_by_count":55,"area":null},{"id":"2210.00120","title":"NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning","created":"2022-09-30","cited_by_count":22,"area":null},{"id":"2102.07456","title":"Neuro-algorithmic Policies enable Fast Combinatorial Generalization","created":"2021-02-15","cited_by_count":11,"area":null},{"id":"2106.02791","title":"Motion Planning Transformers: A Motion Planning Framework for Mobile Robots","created":"2021-06-05","cited_by_count":10,"area":null},{"id":"2509.06953","title":"Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments","created":"2025-09-08","cited_by_count":9,"area":null},{"id":"2306.00616","title":"Progressive Learning for Physics-informed Neural Motion Planning","created":"2023-06-01","cited_by_count":8,"area":null},{"id":"2306.00851","title":"Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers","created":"2023-06-01","cited_by_count":8,"area":null},{"id":"2201.09467","title":"CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces","created":"2022-01-24","cited_by_count":7,"area":null},{"id":"2211.08368","title":"A Survey on the Integration of Machine Learning with Sampling-based Motion Planning","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2505.05691","title":"Physics-informed Temporal Difference Metric Learning for Robot Motion Planning","created":"2025-05-09","cited_by_count":6,"area":null},{"id":"2110.06149","title":"Planning from Pixels in Environments with Combinatorially Hard Search Spaces","created":"2021-10-12","cited_by_count":5,"area":null},{"id":"2202.00907","title":"Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning","created":"2022-02-02","cited_by_count":2,"area":null},{"id":"2204.06791","title":"Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning","created":"2022-04-14","cited_by_count":2,"area":null},{"id":"2208.11287","title":"Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner","created":"2022-08-24","cited_by_count":2,"area":null},{"id":"2404.19403","title":"Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making","created":"2024-04-30","cited_by_count":1,"area":null},{"id":"2603.24318","title":"Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities","created":"2026-03-25","cited_by_count":1,"area":null},{"id":"2103.11168","title":"Learning Continuous Cost-to-Go Functions for Non-holonomic Systems","created":"2021-03-20","cited_by_count":0,"area":null}],"next_cursor":null}