Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,798)
Clear ✕Signal–text fusion multimodal large language model for few-shot fault diagnosis of industrial robots
Chong Chen, Kuanhong Zhao, Zhuyun Chen +2 more
Robotics and Computer-Integrated Manufacturing · 2027
Video2Knowledge: Extracting temporally consistent task knowledge from monocular video for robot skill learning
Jinyi Huang, Hao Zheng, Yinwang Ren +3 more
Robotics and Computer-Integrated Manufacturing · 2027
A deep reinforcement learning and a dynamic graph neural network-based scheduling agent to control a multi-task robot
Hedi Boukamcha, Anas Neumann, Monia Rekik +3 more
Robotics and Computer-Integrated Manufacturing · 2026
LLM Agent-driven Automated DFA Assessment with Fine-tuning and AAS-based RAG
Jiaxin Liu, Xiaofeng Zhou, Suyang Yu +5 more
Robotics and Computer-Integrated Manufacturing · 2026
Artificial Intelligence enhanced smart welding islands: Foundation models revolutionizing manufacturing
Xiwei Wu, Wei Wu, Qiqi Chen +6 more
Robotics and Computer-Integrated Manufacturing · 2026
Memristor-based neuromorphic circuit for visual emotional non-associative learning.
Wang Y, Shao S, Wang Y +1 more
Cognitive neurodynamics · 2026
Stable region enhanced online learning method for intermediate verification latency and concept drift
Zixin Zhong, Liyan Song, Fengzhen Tang +1 more
Pattern Recognition · 2026
Safe reinforcement learning with Langevin dynamics for robotics
Jingyu Liu, Yuanda Wang, Chenguang Yang +4 more
Advanced Engineering Informatics · 2026
Can context bridge the reality gap? Sim-to-real transfer of context-aware policies
Marco Iannotta, Yuxuan Yang, Johannes A. Stork +2 more
Robotics and Autonomous Systems · 2026
Artificial intelligence-driven optimization and reinforcement learning for intelligent mobile robot operations in warehouse automation: A review
Mahmoud Elnady, Stepan Ozana
Robotics and Autonomous Systems · 2026
LLM-based reasoning for robotic planning: Robustness to task and environmental complexity
Filippo Favali, Lorenzo Sabattini, Valeria Villani
Robotics and Autonomous Systems · 2026
SyntheFormer: A multivariate variable-length time series data-based parallel Transformer model for explainable quality predicting and anomaly tracing
Jiewu Leng, Xiaofeng Zhu, Jiahe Li +8 more
Robotics and Computer-Integrated Manufacturing · 2026
From building robots to cultivating robotics literacy? A systematic review of educational robotics research and its future directions
Richard Chung Yiu Yeung, Daner Sun, Chi Ho Yeung +2 more
Computers & Education · 2026
Generalized machine learning model for deformation prediction and compensation in robotic machining
Taehwa Hong, Gyuho Kim, Seong Hyeon Kim +1 more
Robotics and Computer-Integrated Manufacturing · 2026
Bridging the semantic gap: Trajectory-guided domain repair for reliable planning
Ruikai Liu, Ruiqi Li, Qingwei Dong +4 more
Robotics and Computer-Integrated Manufacturing · 2026
A hierarchical federated learning approach based on cloud–fog–edge computing architecture for distributed smart manufacturing systems
Wenyou Guo, Ting Qu, Yongheng Zhang +2 more
Robotics and Computer-Integrated Manufacturing · 2026
MA2MB: Multi-agent mutual-advising model-based reinforcement learning for pursuit and evasion games
Baolin Zhao, Qi Guo, Xiandong Wang +2 more
Robotics and Autonomous Systems · 2026
LaMAR: A scalable architecture-Reward co-Design for expert systems in multi-Task robotics
Kewei Chen, Yayu Long, Mingsheng Shang
Expert Systems with Applications · 2026
TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
Zhouchonghao Wu, Akshay Rangesh, Weixin Li +4 more
2026
FlowWAM: Optical Flow as a Unified Action Representation for World Action Models
Yixiang Chen, Peiyan Li, Yuan Xu +13 more
2026
ExToken: Structured Exploration for Efficient Vision-Language-Action Reinforcement Fine-tuning
Yilun Kong, Yunpeng Qing, Guozheng Ma +4 more
2026
UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies
Lirui Zhao, Modi Shi, Li Chen +3 more
2026
Directional Constraints for Efficient Exploration in Safe Reinforcement Learning
Paolo Magliano, Puze Liu, Jan Peters +2 more
2026
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Trinh Tran, Binh Nguyen, Truong X. Nghiem
2026