运动规划论文趋势 2023–2026
轨迹规划
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 225 篇被归入该主题的论文。
主要结论
- 运动规划论文从 2023 年的 34 篇增长到 2026 年的 83 篇,三年间扩大到约 2.4 倍。
- CVPR 是发运动规划论文最多的会议,2023–2026 年共 115 篇,占四个会议总量的 51%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 16 篇。
- 在「自动驾驶」的 5 个主题里,它的 2026 年论文数排第 4;同组增长最快的占用预测是 2.3 倍,运动规划是 2.4 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 6 | 5 | 4 | 19 | 34 |
| 2024 | 9 | 5 | 7 | 32 | 53 |
| 2025 | 12 | 11 | 5 | 27 | 55 |
| 2026 | 28 | 8 | 10 | 37 | 83 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026Coherence-Aware Transition-Intent Fusion for LTL Planning under Uncertain Semantic Maps
- ICML 2026Trajectory-Aware Heuristic Learning for Combinatorial Search
- ICLR 2026Efficient Differentiable Contact Model with Long-range Influence
- CVPR 2026EgoPoseFormer v2 Accurate Egocentric Human Motion Estimation for ARVR
- NeurIPS 2025Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
- ICML 2025Goal-Space Planning with Subgoal Models
- ICLR 20253DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
- CVPR 2025A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
- NeurIPS 2024Text to Blind Motion
- ICML 2024Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
- ICLR 2024Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
- CVPR 2024DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
- NeurIPS 2023Accelerating Motion Planning via Optimal Transport
- ICML 2023Motion Question Answering via Modular Motion Programs
- ICLR 2023Integrating Symmetry into Differentiable Planning with Steerable Convolutions
- CVPR 20233D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture
- NeurIPS 2026ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
- ICML 2026Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
- ICLR 2026NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping
- CVPR 2026Event-based Motion Deblurring with Unpaired Data
全部运动规划论文
共 55 篇,第 1 / 2 页
- NeurIPS 2026Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
- NeurIPS 2026Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation
- NeurIPS 2026Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
- NeurIPS 2026Coherence-Aware Transition-Intent Fusion for LTL Planning under Uncertain Semantic Maps
- NeurIPS 2026ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
- NeurIPS 2026Corrupted Plans, Clean Traces: What Planning-Execution Decoupling Reveals About CoT Monitoring
- NeurIPS 2026CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction
- NeurIPS 2026DAGent: Evaluate-then-Grow Planning for Deep Research Agents
- NeurIPS 2026DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising
- NeurIPS 2026EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues
- NeurIPS 2026FacEDiT: Talking Head Video Editing via Facial Motion Infilling
- NeurIPS 2026ForceBody: Force-Paired Parametric Body Motion with Torque Uncertainty
- NeurIPS 2026Geometric Prompt-Trajectory Planning for Test-Time Scaling
- NeurIPS 2026Implicit-Euler Value Iteration: Long-Horizon Planning via Stable Integration of the Bellman Residual Flow
- NeurIPS 2026Learning Motion-Appearance Coupling Priors for Solving Video Inverse Problems
- NeurIPS 2026Locating and Repairing Domain Shift in VLM Trajectory Planning
- NeurIPS 2026MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
- NeurIPS 2026Model-Based Online Decision Making via Generative Trajectory Planning
- NeurIPS 2026Offline Inverse Reinforcement Learning with Unified Diffusion Planning
- NeurIPS 2026OmniEgoCap: Camera-Agnostic Sequence-Level Egocentric Motion Reconstruction
- NeurIPS 2026Ordinal Geometry Complements Reconstruction: Diagnosing Planning with Compressed Value Functions
- NeurIPS 2026Point4D: Long-range 4D Motion Reconstruction
- NeurIPS 2026Refining Compositional Diffusion for Reliable Long-Horizon Planning
- NeurIPS 2026REINS: A Self-Evolving Agent Harness for Real-Time Trajectory Planning
- NeurIPS 2026Risk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees
- NeurIPS 2026Sparse Planning in Visual World Models via Cost Gradients
- NeurIPS 2026Trajectory Planning without Trajectory Data: A Manifold-Guided Approach
- NeurIPS 2026TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
- NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
- NeurIPS 2025Flow Equivariant Recurrent Neural Networks
- NeurIPS 2025FlowFeat: Pixel-Dense Embedding of Motion Profiles
- NeurIPS 2025HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
- NeurIPS 2025Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
- NeurIPS 2025MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts
- NeurIPS 2025Object Concepts Emerge from Motion
- NeurIPS 2025Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
- NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
- NeurIPS 2025RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
- NeurIPS 2025SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models
- NeurIPS 2025UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
- NeurIPS 2024ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
- NeurIPS 2024In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
- NeurIPS 2024Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
- NeurIPS 2024Learning Cooperative Trajectory Representations for Motion Forecasting
- NeurIPS 2024Model-based Diffusion for Trajectory Optimization
- NeurIPS 2024Revisiting motion information for RGB-Event tracking with MOT philosophy
- NeurIPS 2024Text to Blind Motion
- NeurIPS 2024The motion planning neural circuit in goal-directed navigation as Lie group operator search
- NeurIPS 2024What type of inference is planning?
- NeurIPS 2023Accelerating Motion Planning via Optimal Transport
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查运动规划在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "motion-planning"}
常见问题
- 2023–2026 年四大会议一共有多少篇运动规划论文?
- 共 225 篇,按年份分别是 2023 年 34 篇、2024 年 53 篇、2025 年 55 篇、2026 年 83 篇。
- NeurIPS 2026 有多少篇运动规划论文?
- NeurIPS 2026 有 28 篇运动规划论文,上一届是 12 篇。
- ICLR 2026 有多少篇运动规划论文?
- ICLR 2026 有 8 篇运动规划论文,上一届是 11 篇。
- ICML 2026 有多少篇运动规划论文?
- ICML 2026 有 10 篇运动规划论文,上一届是 5 篇。
- CVPR 2026 有多少篇运动规划论文?
- CVPR 2026 有 37 篇运动规划论文,上一届是 27 篇。
- 哪个会议的运动规划论文最多?
- CVPR,2023–2026 年共 115 篇。