Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Rhythm: Learning Interactive Whole-Body Control for Dual Humanoids
Hongjin Chen, Wei Zhang, Pengfei Li +10 more
2026
Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving
Tianze Zhu, Yinuo Wang, Wenjun Zou +6 more
2026
Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network
Wenzhe Tong, Yicheng Jiang, Chi Zhang +2 more
2026
Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative Inference Systems
Mengru Wu, Jiawei Li, Jiaqi Wei +3 more
2026
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Anthony Liang, Yigit Korkmaz, Jiahui Zhang +14 more
2026
$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs
Siting Wang, Xiaofeng Wang, Zheng Zhu +7 more
2026
Battery Discharge Modeling for Electric Vehicles: A Hybrid Physics-based Residual Learning Approach
Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos
2026
ROSER: Few-Shot Robotic Sequence Retrieval for Scalable Robot Learning
Zillur Rahman, Eddison Pham, Alejandro Daniel Noel +1 more
2026
Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning
Shaohuai Liu, Weirui Ye, Yilun Du +1 more
2026
Align and Filter: Improving Performance in Asynchronous On-Policy RL
Homayoun Honari, Roger Creus Castanyer, Michael Przystupa +3 more
2026
Integrating LTL Constraints into PPO for Safe Reinforcement Learning
Maifang Zhang, Hang Yu, Qian Zuo +3 more
2026
ArtLLM: Generating Articulated Assets via 3D LLM
Penghao Wang, Siyuan Xie, Hongyu Yan +4 more
2026
Compact Task-Aligned Imitation Learning for Laboratory Automation
Kanata Suzuki, Hanon Nakamurama, Kana Miyamoto +1 more
2026
Intent-Context Synergy Reinforcement Learning for Autonomous UAV Decision-Making in Air Combat
Jiahao Fu, Feng Yang
2026
HierKick: Hierarchical Reinforcement Learning for Vision-Guided Soccer Robot Control
Yizhi Chen, Zheng Zhang, Zhanxiang Cao +7 more
2026
Battery Lifetime Prediction using Data-driven Modeling Approaches
Vikram C Patil
2026
ReMoT: Reinforcement Learning with Motion Contrast Triplets
Cong Wan, Zeyu Guo, Jiangyang Li +5 more
2026
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
Paul Nitschke, Shahriar Talebi
2026
FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System
Kriti Thakur, Alivelu Manga Parimi, Mayukha Pal
2026
Neural Luenberger state observer for nonautonomous nonlinear systems
Moritz Woelk, Jarod Morris, Wentao Tang
2026
SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems
Jialiang Fan, Weizhe Xu, Mengyu Liu +3 more
2026
Learning Robust Control Policies for Inverted Pose on Miniature Blimp Robots
Yuanlin Yang, Lin Hong, Fumin Zhang
2026
Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
Jingwen Wang, Johannes Kirschner, Paul Rolland +2 more
2026
TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving
Xiaotong Zhang, Gang Xiong, Yuanjing Wang +3 more
2026