Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,878)
Clear ✕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
Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On
Zaiqiang Wu, Yechen Li, Jingyuan Liu +4 more
2025
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
Nart Gashi, Panagiotis Kakosimos, George Papafotiou
2025
Semi-Tensor-Product Based Convolutional Neural Networks
Daizhan Cheng, Xiao Zhang
2025