Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,955)
Clear ✕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
Efficient Neural Network Model Selection for Few-Class Application Datasets
Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2 more
2026
GDGU: A Gradient Difference-based Graph Unlearning Method for Cyberattack Localization in Electric Vehicle Charging Networks
Nanhong Liu, Mucun Sun, Jie Zhang
2026
Playful Agentic Robot Learning
Junyi Zhang, Jiaxin Ge, Hanjun Yoo +17 more
2026
UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning
Mohamed Nabail, Leo Cheng, Jingmin Wang +1 more
2026
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models
Nikita Kachaev, Andrey Moskalenko, Matvey Skripkin +10 more
2026
Learning to Annotate Delayed and False AEB Events: A Practical System for Extreme Class Imbalance and Asymmetric Label Noise
Mengxiang Hao, Xin Jiang, Xinghao Huang +10 more
2026
OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems
Till Richter, Niki Kilbertus
2026
Byzantine-Resilient Federated Multi-Agent Optimization Framework for Cyber-Secure Interconnected Microgrids
Ali Peivand, Seyyed Mostafa Nosratabadi
2026
Model-Free Reinforcement Learning Control for Resilient Cyber-Physical Systems
Hugo O. Garcés, Alejandro J. Rojas, Bernardo A. Hernández +5 more
2026
FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs
Lorenzo Sani, Zeyu Cao, Meghdad Kurmanji +5 more
2026
Space Is Intelligence: Neural Semigroup Superposition for Riemannian Metric Generation
Chenghao Xu
2026
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
Haobin Qin, Baofeng Zhang, Hidehisa Akiyama +1 more
2026
HALOMI: Learning Humanoid Loco-Manipulation with Active Perception from Human Demonstrations
Zehui Zhao, Yuxuan Zhao, Gaojing Zhang +3 more
2026
Stealthy World Model Manipulation via Data Poisoning
Yibin Hu, Xiaolin Sun, Zizhan Zheng
2026
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation
Wei-Cheng Tseng, Gashon Hussein, Yuzhu Dong +9 more
2026