Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Spatiotemporal Trust Evaluation for Collaborator Selection via Customized GNN-Mamba
Botao Zhu, Xianbin Wang
2026
How to Utilize Failure Demo Data?: Effective Data Selection for Imitation Learning Using Distribution Differences in Attention Mechanism
Kana Miyamoto, Kanata Suzuki, Tetsuya Ogata
2026
LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations
Qixin Xiao, Maani Ghaffari
2026
Anatomical Landmark-Guided Deep Reinforcement Learning for Autonomous Gastric Navigation
Haoxuan Wu, Sishen Yuan, Haitao Gao +3 more
2026
Learning Visual Feature-Based World Models via Residual Latent Action
Xinyu Zhang, Zhengtong Xu, Yutian Tao +3 more
2026
Randomness is sometimes necessary for coordination
Rohan Patil, Jai Malegaonkar, Henrik I. Christensen
2026
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
Umme Mahbuba Nabila, Paul Seurin, Linyu Lin +1 more
2026
Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
Chenchen Zhou, Shaoqi Wang, Hongxin Su +3 more
2026
Performance guaranteed MPC Policy Approximation via Cost Guided Learning
Chenchen Zhou, Yi Cao, Shuang-hua Yang
2026
Distributed Online Learning for Time-Critical Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
2026
Residual-Corrected Equivalent-Circuit Model with Universal Differential Equations for Robust Battery Voltage Prediction under Operating-Condition Shift
Alexandre Barbosa de Lima, Roberta Vieira Raggi
2026
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Nilaksh, Saurav Jha, Artem Zholus +1 more
2026
Structure-Preserving Gaussian Processes Via Discrete Euler-Lagrange Equations
Jan-Hendrik Ewering, Kathrin Flaßkamp, Niklas Wahlström +2 more
2026
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan +1 more
2026
Foundation Twins: A New Generation of Power Systems Digital Twins using Foundation AI Models
Pedro P. Vergara
2026
A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration
Manuel Haussmann, Mustafa Mert Çelikok, Melih Kandemir
2026
Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
Nandiraju Gireesh, Yuanliang Ju, He Wang
2026
LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts
Seungeun Rho, Shamel Fahmi, Jeonghwan Kim +3 more
2026
Quantized Probabilistic AI for Gear Fault Diagnosis in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
2026
From open-loop representations to closed-loop feedback implementations in differential games: A numerical case study
Philipp Braun, Timothy L. Molloy, Gal Barkai +1 more
2026
ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC
Yurui Du, Pinhao Song, Yutong Hu +1 more
2026
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
Huimin Wang, Yue Wang, Bihao Cui +7 more
2026
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
Jonathan Spieler, Sven Behnke
2026
Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models
Jan Marco Ruiz de Vargas, Fabian Raisch, Zoltan Nagy +2 more
2026