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 ✕Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
Yiting Mao, Dajun Tao, Shengyuan Zhang +2 more
2025
Reinforcement Learning Based Symbolic Regression for Load Modeling
Ding Lin, Han Guo, Jianhui Wang +2 more
2025
One-Shot Dual-Arm Imitation Learning
Yilong Wang, Edward Johns
2025
Robotic Ultrasound-Guided Femoral Artery Reconstruction of Anatomically-Representative Phantoms
Lidia Al-Zogbi, Deepak Raina, Vinciya Pandian +2 more
2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Travis Barrett, Amit Kumar Mishra
2025
A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game
Penglin Hu, Chunhui Zhao, Quan Pan
2025
Intelligent Spectrum Sharing in Integrated TN-NTNs: A Hierarchical Deep Reinforcement Learning Approach
Muhammad Umer, Muhammad Ahmed Mohsin, Ali Arshad Nasir +2 more
2025
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach
Omar Mameche, Abdelhadi Abedou, Taqwa Mezaache +1 more
2025
Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models
Nachiket U. Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
2025
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
Alexandra E. Ballentine, Raghvendra V. Cowlagi
2025
StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place Recognition
Yanqing Shen, Sanping Zhou, Jingwen Fu +3 more
2025
Non-Equilibrium MAV-Capture-MAV via Time-Optimal Planning and Reinforcement Learning
Canlun Zheng, Zhanyu Guo, Zikang Yin +3 more
2025
Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning
Varad Vaidya, Jishnu Keshavan
2025
Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction
Hesam Mosalli, Saba Sanami, Yu Yang +2 more
2025
Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
Kedi Xie, Martin Guay, Shimin Wang +2 more
2025
Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and Estimation
Zixi Kang, Xinghan Wang, Yadong Mu
2025
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
Xinjie Liu, Cyrus Neary, Kushagra Gupta +4 more
2025
Learning High-Fidelity Robot Self-Model with Articulated 3D Gaussian Splatting
Kejun Hu, Peng Yu, Ning Tan
2025
Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review
Arash J. Khabbazi, Elias N. Pergantis, Levi D. Reyes Premer +5 more
2025
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar
Anja Sheppard, Katherine A. Skinner
2025
Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
2025
Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing
Mattia Sinigaglia, Amirhossein Kiamarzi, Marco Bertuletti +11 more
2025
Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary Conditions
Rafael I. Cabral Muchacho, Florian T. Pokorny
2025
AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services
Xiaoqi Wang, Hongyang Du, Yuehong Gao +1 more
2025