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 ✕Stage-Aware and Roughness-Constrained Diffusion Policy for Multi-Stage Robotic Polishing
Shuai Ke, Jiexin Zhang, Huan Zhao +7 more
2026
Bayesian updates from coalgebraic determinisation
Manuel Baltieri, Nathaniel Virgo
2026
Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning
Samuel Valland Lyngset, Tor Viljen Raanaas, Gard Sveipe +4 more
2026
Power-Budgeted Underwater Vehicle Control via Constrained Reinforcement Learning
Yinuo Wang, Gavin Tao, Yuze Liu
2026
Reference-Free Heterogeneous Multi-Agent Reinforcement Learning for Grid-Friendly Tie-Line Power Shaping in Industrial Microgrids
Daniyaer Paizulamua, Lin Cheng, Fashun Shi +3 more
2026
AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
Wei Wang, Enlin Gu, Antonio Loquercio +2 more
2026
Active Learning for Optimal Experimental Design in Machine Learning-Based Building Energy System Identification
Nam T. Nguyen, Truong X. Nghiem
2026
An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks
Chaoqing Tang, Jiaxuan Li, Huanze Zhuang +4 more
2026
Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving
Deepak Edakkattil Gopinath, Xiongyi Cui, Jonathan DeCastro +2 more
2026
Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control
Rutav Shah, Yisu Li, Femi Bello +2 more
2026
RGB: RL Guided Whole-Body MPPI for Humanoid Control
Yunsoo Seo, Sol Choi, Euncheol Im +2 more
2026
LaGO: Latent Action Guidance for Online Reinforcement Learning
Kuan-Yen Liu, Ren-Jyun Huang, Ti-Rong Wu
2026
Solving Markov Decision Processes with Future Information via MPC
Shambhuraj Sawant, Akhil S Anand, Dirk Reinhardt +1 more
2026
Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models
Thibaut Kulak
2026
Supervised Reinforcement Learning for the Coordination of Distributed Energy Resources
Haoyuan Deng, Yihong Zhou, Thomas Morstyn +1 more
2026
SPACE: Enabling Learning from Cross-Robot Data Toward Generalist Policies
Haeone Lee, Byeongguk Jeon, Suchae Jeong +2 more
2026
TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU
Gabriel Bravo-Palacios, Jianghan Zhang, Zachary Pestrikov +2 more
2026
Spatial-temporal Relation guided Motion Transfer via Diffusion Model.
Li Y, Wu J, Fan R +2 more
IEEE transactions on visualization and computer graphics · 2026
Adaptive Learning Control of Uncertain Systems via Weight and Intrinsic Plasticity-Based Neural Networks.
He J, Zhou B, Zhao K +2 more
IEEE transactions on neural networks and learning systems · 2026
RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models
Ulas Berk Karli, Tesca Fitzgerald
2026
Decentralized Autonomous Traffic Management through Corridor Networks
Jasmine Jerry Aloor, Aadarsh Govada, Hamsa Balakrishnan
2026
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2 more
2026
Causal Reward World Models: Zero-shot Reward Design for Automated Skill Generation
Yang Yang, Yuchuang Tong, Zhengtao Zhang +6 more
2026
When Distortion Helps: Secure GNN Precoding with Nonlinear Power Amplifiers
Reza Ghasemi Alavicheh, Thomas Feys, Md Arifur Rahman +1 more
2026