机器人操作论文趋势 2023–2026

抓取与操作

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 321 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

机器人操作论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202361271944
2024111661346
20253223142796
202630422538135

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

全部机器人操作论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 96 篇，第 2 / 2 页

  1. ICML 2025ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
  2. ICML 2025BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
  3. ICML 2025DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
  4. ICML 2025Diversifying Robot Locomotion Behaviors with Extrinsic Behavioral Curiosity
  5. ICML 2025Hierarchical Equivariant Policy via Frame Transfer
  6. ICML 2025Improving Your Model Ranking on Chatbot Arena by Vote Rigging
  7. ICML 2025Learning Efficient Robotic Garment Manipulation with Standardization
  8. ICML 2025Maximum Total Correlation Reinforcement Learning
  9. ICML 2025Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
  10. ICML 2025Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
  11. ICML 2025Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
  12. ICML 2025SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
  13. ICML 2025SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space
  14. ICML 2025STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
  15. NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
  16. NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
  17. NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
  18. NeurIPS 2025Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
  19. NeurIPS 2025BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation
  20. NeurIPS 2025Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
  21. NeurIPS 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
  22. NeurIPS 2025COOPERA: Continual Open-Ended Human-Robot Assistance
  23. NeurIPS 2025DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
  24. NeurIPS 2025Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
  25. NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
  26. NeurIPS 2025EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
  27. NeurIPS 2025Enhancing Tactile-based Reinforcement Learning for Robotic Control
  28. NeurIPS 2025FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model
  29. NeurIPS 2025ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
  30. NeurIPS 2025Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
  31. NeurIPS 2025HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
  32. NeurIPS 2025Learning Spatial-Aware Manipulation Ordering
  33. NeurIPS 2025MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
  34. NeurIPS 2025MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans
  35. NeurIPS 2025Object-centric 3D Motion Field for Robot Learning from Human Videos
  36. NeurIPS 2025PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
  37. NeurIPS 2025PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
  38. NeurIPS 2025PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
  39. NeurIPS 2025Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents
  40. NeurIPS 2025RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence
  41. NeurIPS 2025Robo2VLM: Improving Visual Question Answering using Large-Scale Robot Manipulation Data
  42. NeurIPS 2025Scaffolding Dexterous Manipulation with Vision-Language Models
  43. NeurIPS 2025Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
  44. NeurIPS 2025Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
  45. NeurIPS 2025Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
  46. NeurIPS 2025VideoVLA: Video Generators Can Be Generalizable Robot Manipulators

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 查机器人操作在 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": "robot-manipulation"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇机器人操作论文？
共 321 篇，按年份分别是 2023 年 44 篇、2024 年 46 篇、2025 年 96 篇、2026 年 135 篇。
NeurIPS 2026 有多少篇机器人操作论文？
NeurIPS 2026 有 30 篇机器人操作论文，上一届是 32 篇。
ICLR 2026 有多少篇机器人操作论文？
ICLR 2026 有 42 篇机器人操作论文，上一届是 23 篇。
ICML 2026 有多少篇机器人操作论文？
ICML 2026 有 25 篇机器人操作论文，上一届是 14 篇。
CVPR 2026 有多少篇机器人操作论文？
CVPR 2026 有 38 篇机器人操作论文，上一届是 27 篇。
哪个会议的机器人操作论文最多？
CVPR，2023–2026 年共 97 篇。

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