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 ✕A self-orchestrating physics-discovering neural architecture for adaptive and fault-resilient robotic motion control via RPA and digital twins.
Singla D, Logeswari G, Tamilarasi K +1 more
Scientific reports · 2026
Causal-Guided Ultra-Long-Term Time Series Forecasting Via Anticipated Covariates.
Zhao J, Liu Y, Huang R +2 more
Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Dynamic Resilience Assessment of Power Systems With Data Center Load Events Using Physics-Informed Neural Networks
Chen Chao, Zixiao Ma, Ziang Zhang
2026
Low-power analogue neural networks with trainable nonlinear connections for continuous control
Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13 more
2026
Generative Robust Optimisation
Yuhui Yin, Vassilis M. Charitopoulos
2026
FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology
Benquan Wang, Jingdao Chen
2026
Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System
Nikki Xu, Hien Tran
2026
Reinforcement Learning-Based Traffic Signal Control for IoT-Enabled Intersections
Yousef AlSaqabi
2026
How Should a Simulation-to-Reality Transfer Budget Be Spent?
Syed Hamzah Rizvi, Yash Vardhan Tomar
2026
Deep RL- Tuned Mo del-Free Adaptive Control for Lower-Limb Exoskeletons During Sit-to-Stand Transitions
Ranjeet Kumbhar, Appaso M. Gadade, Rajmeet Singh +2 more
2026
A Reward-Petri-Net Interpretation of Temporal Behavior Trees
Till Schmeil, Günther Waxenegger-Wilfing, Sebastian Schirmer
2026
PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
Youngjoon Jeong, Jihwan Yu, Minsoo Jo +2 more
2026
Horizon Adaptive Offline Policy Learning via Value Stitching
Kexin Zheng, Xianyuan Zhan, Xintao Yan
2026
Data-driven simulator of multi-animal behavior with unknown dynamics via reinforcement learning.
Fujii K, Tsutsui K, Teshima Y +6 more
iScience · 2026
Formalizing Task-Space Complexity for Zero-Shot Generalization
Jung-Hoon Cho, Heling Zhang, Siqi Du +2 more
2026
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination
Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7 more
2026
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation
Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano
2026
Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
M. Santos-Pascual, D. Ríos Insua
2026
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
Duc Minh Nguyen, Nghiem Tuong Diep, Binh Gia Nguyen +17 more
2026
CRAX: Fast Safe Reinforcement Learning Benchmarking
Tristan Tomilin, Mourad Boustani, Mickey Beurskens +1 more
2026
Stable Transformer-Actor-Critic Model Predictive Control: A Contraction Analysis Approach
Antonio Marino, Valerio Modugno, Marco Cognetti
2026
VFILC: Accurate Frequency Extrapolations in Imitation Learning via Sampling Frequency ILC
Nozomu Masuya, Toshiaki Tsuji, Sho Sakaino
2026
A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems
Junzhe Xu, Zecui Zeng, Lusong Li +2 more
2026
Deep-Unfolded Coordination
Hunter Kuperman, Minchan Jung, Rahul V. Ghosh +2 more
2026