Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,831)
Clear ✕RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models
Hongzhi Zang, Mingjie Wei, Si Xu +15 more
2025
Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy
Hamidreza Montazeri Hedesh, Milad Siami
2025
Differentiable Model Predictive Control on the GPU
Emre Adabag, Marcus Greiff, John Subosits +1 more
2025
Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition
Jim Dai, Manxi Wu, Zhanhao Zhang
2025
Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
Aueaphum Aueawatthanaphisut, Nyi Wunna Tun
2025
Information-Theoretic Policy Pre-Training with Empowerment
Moritz Schneider, Robert Krug, Narunas Vaskevicius +3 more
2025
Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
Yuhang Zhang, Jiaping Xiao, Chao Yan +1 more
2025
DREAMer-VXS: A Latent World Model for Sample-Efficient AGV Exploration in Stochastic, Unobserved Environments
Agniprabha Chakraborty
2025
Adaptive Dynamics Planning for Robot Navigation
Yuanjie Lu, Mingyang Mao, Tong Xu +3 more
2025
Control of dynamical systems with neural networks
Lucas Böttcher
2025
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
Yixiao Wang, Mingxiao Huo, Zhixuan Liang +8 more
2025
Automaton Constrained Q-Learning
Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi
2025
Curiosity-Driven Development of Action and Language in Robots Through Self-Exploration
Theodore Jerome Tinker, Kenji Doya, Jun Tani
2025
Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
Nick Janssen, Melanie Schaller, Bodo Rosenhahn
2025
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1 more
2025
In-Field Mapping of Grape Yield and Quality with Illumination-Invariant Deep Learning
Ciem Cornelissen, Sander De Coninck, Axel Willekens +2 more
2025
Performance-guided Task-specific Optimization for Multirotor Design
Etor Arza, Welf Rehberg, Philipp Weiss +2 more
2025
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim +1 more
2025
Data-Driven Adaptive PID Control Based on Physics-Informed Neural Networks
Junsei Ito, Yasuaki Wasa
2025
RAP: 3D Rasterization Augmented End-to-End Planning
Lan Feng, Yang Gao, Eloi Zablocki +5 more
2025
A KL-regularization Framework for Learning to Plan with Adaptive Priors
Álvaro Serra-Gomez, Daniel Jarne Ornia, Dhruva Tirumala +1 more
2025
A Hybrid GNN-IZR Framework for Fast and Empirically Robust AC Power Flow Analysis in Radial Distribution Systems
Mohamed Shamseldein
2025
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
Amin Vahidi-Moghaddam, Sayed Pedram Haeri Boroujeni, Iman Jebellat +3 more
2025
HOFLON: Hybrid Offline Learning and Online Optimization for Process Start-Up and Grade-Transition Control
Alex Durkin, Jasper Stolte, Mehmet Mercangöz
2025