Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
Qiyuan Wu, Mark Campbell
2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
Andrew Wagenmaker, Mitsuhiko Nakamoto, Yunchu Zhang +5 more
2025
QPPG: Quantum-Preconditioned Policy Gradient for Link Adaptation in Rayleigh Fading Channels
Oluwaseyi Giwa, Muhammad Ahmed Mohsin, Folarin Jubril Adesola +1 more
2025
Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks
Yimian Ding, Jingzehua Xu, Guanwen Xie +2 more
2025
Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors
Ziteng Li, Malte Kuhlmann, Ilana Nisky +1 more
2025
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Abhishek Verma, Nallarasan V, Balaraman Ravindran
2025
Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation
Wending Heng, Chaoyuan Liang, Yihui Zhao +3 more
2025
AMPLIFY: Actionless Motion Priors for Robot Learning from Videos
Jeremy A. Collins, Loránd Cheng, Kunal Aneja +3 more
2025
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
Ali Baheri
2025
Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies
Ioannis Mandralis, Richard M. Murray, Morteza Gharib
2025
Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation
Mohamed Serry, Haoyu Li, Ruikun Zhou +2 more
2025
Delayed Expansion AGT: Kinodynamic Planning with Application to Tractor-Trailer Parking
Dongliang Zheng, Yebin Wang, Stefano Di Cairano +1 more
2025
RL-Guided MPC for Autonomous Greenhouse Control
Salim Msaad, Murray Harraway, Robert D. McAllister
2025
Online-Optimized Gated Radial Basis Function Neural Network-Based Adaptive Control
Mingcong Li
2025
CHARM: Considering Human Attributes for Reinforcement Modeling
Qidi Fang, Hang Yu, Shijie Fang +4 more
2025
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
Abdullah Burkan Bereketoglu
2025
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
Pantelis Dogoulis, Karim Tit, Maxime Cordy
2025
Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps
Mohammadreza Kouchaki, Aly Sabri Abdalla, Vuk Marojevic
2025
RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control
Junpeng Yue, Zepeng Wang, Yuxuan Wang +7 more
2025
Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling
Zhilin Lin, Shiliang Sun
2025
Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning
Ali Baheri
2025
Feature Complementation Architecture for Visual Place Recognition
Weiwei Wang, Meijia Wang, Haoyi Wang +5 more
2025
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
Jihoon Suh, Yeongjun Jang, Kaoru Teranishi +1 more
2025
Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach
Zhi Chai, Jiajie Xu, Justin P Coon +1 more
2025