Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,955)
Clear ✕Fast Convergence and Robustness for Two-Layered Forgetting Recursive Least Square under Finite Excitation
Satoshi Tsuruhara, Kazuhisa Ito
2026
PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
Wenjing Tang, Xuanjin Jin, Yuan Liu +3 more
2026
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time
Jeongeun Park, Juhan Park, Taekyung Kim +3 more
2026
Pixels to Proofs: Probabilistically-Safe Latent World Model Control via Parallel Conformal Robust MPC
Devesh Nath, Anutam Srinivasan, Haoran Yin +3 more
2026
Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities
Hassan Ismkhan, Hamid Bouchahcia
2026
A Hybrid Model-Based and Model-Free Framework for Active Multi-View Viewpoint Optimization in Sonar Target Recognition
Yongkyoon Park, Jane Shin
2026
Hamilton-Jacobi Reachability-Based Safe Reinforcement Learning for Emergency Collision Avoidance
Yuhong Jiang, Shiyue Zhao, Junzhi Zhang +4 more
2026
CREST: Deployment-Realistic Hardware-in-the-Loop NAS for Embedded Sensing Systems
Joseph Q. Zales, Pragya Sharma, Mani Srivastava
2026
Safe Reinforcement Learning of Autonomous Highway Driving: A Unified Framework for Safety and Efficiency
Chufei Yan, Zhihao Cui, Yiyan Lv +3 more
2026
A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems
Shadi Heenatigala, Hasanika Samarasinghe
2026
Sensitivity Shaping for Latent Modeling
Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2 more
2026
TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation
Zihao Li, Ranpeng Qiu, Yincong Chen +2 more
2026
Provably Safe, Yet Scalable Reinforcement Learning
Kai S. Yun, Zeyang Li, Navid Azizan
2026
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM
Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +1 more
2026
Causal Object-Centric Models for Planning with Monte Carlo Tree Search
Rodion Vakhitov, Leonid Ugadiarov, Alexey Skrynnik +1 more
2026
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
He Zhang, Lingzhu Xiang, Haitao Lin +17 more
2026
Attention-based Experience Replay Framework for Continual Learning of Agnostic Time Series Forecasting Models
Quentin Besnard, Nicolas Ragot
2026
Intelligent Domain Adaptation for Power System Transient Stability Assessment Under Varying Operating Scenarios
Yuan Yang, Lipeng Zhu, Chao Deng +3 more
2026
FloVerse: Floor Plan-Guided Multi-Modal Navigation
Weiqi Huang, Shuangyi Dong, Jiaxin Li +3 more
2026
An Attention-based Model for Robust Forecasting with Missing Modality
Zhitian Zhang, Wenjie Zi, Yunduz Rakhmangulova +3 more
2026
SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting
Jafar Bakhshaliyev, Niels Landwehr
2026
TetraRL: A Self-Adaptive Runtime for On-Device Deep Reinforcement Learning Systems
Zexin Li, Soheil Shirvani, Cong Liu
2026
Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances
Hongyu Zhou, Mingtian Tan, Vasileios Tzoumas
2026
Scalable Deep Unfolding of Conic Optimizers
Alex Oshin, Rahul Vodeb Ghosh, Evangelos A. Theodorou
2026