Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action Model
Yuanjie Lu, Beichen Wang, Zhengqi Wu +4 more
2026
Neural Network Tuning of FSMPC for Drives
Juana M. Martínez-Heredia, José L. Mora
2026
Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid Recovery
Nehar Poddar, Stephen McCrory, Luigi Penco +3 more
2026
Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
Shreya Das, Kundan Kumar, Muhammad Iqbal +4 more
2026
A Recipe for Stable Offline Multi-agent Reinforcement Learning
Dongsu Lee, Daehee Lee, Amy Zhang
2026
Joint Trajectory, RIS, and Computation Offloading Optimization via Decentralized Model-Based PPO in Urban Multi-UAV Mobile Edge Computing
Liangshun Wu, Jianbo Du, Junsuo Qu
2026
Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation
Yang Yang, Chenggang Cui, Xitong Niu +2 more
2026
SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
Kaushik Roy, Giovanni D'urso, Nicholas Lawrance +2 more
2026
Relating Reinforcement Learning to Dynamic Programming-Based Planning
Filip V. Georgiev, Kalle G. Timperi, Başak Sakçak +1 more
2026
Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing
Nikita Sarawgi, Omey M. Manyar, Fan Wang +3 more
2026
Toward Global Intent Inference for Human Motion by Inverse Reinforcement Learning
Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet +1 more
2026
Emergency Lane-Change Simulation: A Behavioral Guidance Approach for Risky Scenario Generation
Chen Xiong, Cheng Wang, Yuhang Liu +2 more
2026
VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries
Yuchen Qi, Ye Guo, Yinliang Xu
2026
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
Janaka Chathuranga Brahmanage, Akshat Kumar
2026
Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments
Nico Messikommer, Jiaxu Xing, Leonard Bauersfeld +3 more
2026
InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills
Dayang Liang, Yuhang Lin, Xinzhe Liu +3 more
2026
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
Yi Tian, Kaiqing Zhang, Russ Tedrake +1 more
2026
Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
Jiazhuo Li, Linjiang Cao, Qi Liu +1 more
2026
Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints
Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik +1 more
2026
Efficient Trajectory Optimization for Autonomous Racing via Formula-1 Data-Driven Initialization
Samir Shehadeh, Lukas Kutsch, Nils Dengler +2 more
2026
The Talking Robot: Distortion-Robust Acoustic Models for Robot-Robot Communication
Hanlong Li, Karishma Kamalahasan, Jiahui Li +2 more
2026
Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel +3 more
2026
A Unified Low-Dimensional Design Embedding for Joint Optimization of Shape, Material, and Actuation in Soft Robots
Vittorio Candiello, Manuel Mekkattu, Mike Y. Michelis +1 more
2026
CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
Mohammadhossein Ghahramani, Mengchu Zhou
2026