Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕RotVLA: Rotational Latent Action for Vision-Language-Action Model
Qiwei Li, Xicheng Gong, Xinghang Li +5 more
2026
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
Tobias Schmähling, Matthias Burkhardt, Tobias Windisch
2026
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi +12 more
2026
Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
Ehsan Aghazadeh, Masoud Malekzadeh, Ahmad Ghasemi +1 more
2026
Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots
Navid Feizi, Filipe C. Pedrosa, Rajni V. Patel +1 more
2026
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
2026
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao Liu
2026
3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots
Chiara Castellani, Enrico Turco, Domenico Prattichizzo
2026
Driving Intents Amplify Planning-Oriented Reinforcement Learning
Hengtong Lu, Victor Shea-Jay Huang, Chengmin Yang +4 more
2026
Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding
Celle Hendrickx, Fabio Pavirani, Chris Develder
2026
Aligning Flow Map Policies with Optimal Q-Guidance
Christos Ziakas, Alessandra Russo, Avishek Joey Bose
2026
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
Xiaosong Jia, Bowen Yang, Zuhao Ge +17 more
2026
Manifold Sampling via Entropy Maximization
Cornelius V. Braun, Tilman Burghoff, Marc Toussaint
2026
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
Matthew M. Hong, Jesse Zhang, Anusha Nagabandi +1 more
2026
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation
Hendrik Schäfke, Daniel O. M. Weber, Askar Vagapov +3 more
2026
OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence
Jiajian Li, Jingyuan Huang, Junru Gong +3 more
2026
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
Youwei Yu, Jionghao Wang, Zhengming Yu +2 more
2026
NavOL: Navigation Policy with Online Imitation Learning
Xiaofei Wei, Chun Gu, Li Zhang
2026
Nautilus: From One Prompt to Plug-and-Play Robot Learning
Yufeng Jin, Jianfei Guo, Xiaogang Jia +8 more
2026
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
Zijiang Yan, Hao Zhou, Wael Jaafar +4 more
2026
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
Yuanpeng Li, Gefei Lin, Annie Qu +1 more
2026
Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
Mehmet Ali Ferah, Tufan Kumbasar
2026
Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance
Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1 more
2026
RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking
Andrew Choi, Wei Xu
2026