Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
Shourya Bose, Helgi Hilmarsson, Dhruv Suri
2026
Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
Yaman Kindap, Manfred Opper, Benjamin Dupuis +2 more
2026
xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks
Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2 more
2026
Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
Jie Lu, Peihao Yan, Pang-Ning Tan +2 more
2026
Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
Taha Entesari, Mahyar Fazlyab
2026
Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1 more
2026
Data-Asymmetric Latent Imagination and Reranking for 3D Robotic Imitation Learning
Lianghao Luo, Xizhou Bu, Ruyan Liu +5 more
2026
Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation
Zhixuan Shen, Jiawei Du, Ziyu Guo +5 more
2026
Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
Aron Distelzweig, Faris Janjoš, Andreas Look +7 more
2026
Harnessing Floating Car Data, Traffic Camera Observations, and Network Flow Analysis for Traffic Volume Estimation
Antonina Kosikova, Mehmet Kerem Turkcan, Ahmed Darrat +1 more
2026
Geometric Pareto Control: Riemannian Gradient Flow of Energy Function via Lie Group Homotopy
Tong Wu
2026
Dynamic Scheduling of a Parallel-Server Queueing System: A Computational Method for High-Dimensional Problems
Baris Ata, Ebru Kasikaralar
2026
ASACK : Adaptive Safe Active Continual Koopman Learning for Uncertain Systems with Contractive Guarantees
Chandan Kumar Sah, Rajpal Singh, Jishnu Keshavan
2026
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
Anish Diwan, Davide Tateo, Christopher E. Mower +3 more
2026
PolarNet: Single-Minima Neural Network for Modeling Lyapunov Functions
Yuan Zhong, Jiaxin Cheng, Hefu Ye +1 more
2026
SHIELD: Scalable Optimal Control with Certification using Duality and Convexity
Hansung Kim, Siddharth H. Nair, Francesco Borrelli
2026
Data-Driven Inverse Reinforcement Learning of Linear Systems with Model Uncertainty: A Convex Optimization View
Duc Cuong Nguyen, Phuong Nam Dao
2026
Beyond Self-Play: Hierarchical Reasoning for Continuous Motion in Closed-Loop Traffic Simulation
Weifan Zhang, Xiaofeng Zhao, Adel Bazzi +3 more
2026
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5 more
2026
Dependency-Aware Discrete Diffusion for Scene Graph Generation
Rajalaxmi Rajagopalan, Romit Roy Choudhury
2026
Preserving Foundational Capabilities in Flow-Matching VLAs through Conservative SFT
Tianyi Zhang, Shaopeng Zhai, Haoran Zhang +2 more
2026
Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
Jiaxin Liu, Peng Yang, Yuping Li +1 more
2026
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
Michael Groom, Victor-Alexandru Darvariu, Lars Kunze +2 more
2026
Adaptive Domain Decomposition Physics-Informed Neural Networks for Traffic State Estimation with Sparse Sensor Data
Eunhan Ka, Ludovic Leclercq, Satish V. Ukkusuri
2026