Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Comprehensive Review on the Control of Heat Pumps for Energy Flexibility in Distribution Networks
Gustavo L. Aschidamini, Mina Pavlovic, Bradley A. Reinholz +3 more
2025
Hybrid Visual Servoing of Tendon-driven Continuum Robots
Rana Danesh, Farrokh Janabi-Sharifi, Farhad Aghili
2025
NavigateDiff: Visual Predictors are Zero-Shot Navigation Assistants
Yiran Qin, Ao Sun, Yuze Hong +2 more
2025
Learning to explore when mistakes are not allowed
Charly Pecqueux-Guézénec, Stéphane Doncieux, Nicolas Perrin-Gilbert
2025
Hierarchical RL-MPC for Demand Response Scheduling
Maximilian Bloor, Ehecatl Antonio Del Rio Chanona, Calvin Tsay
2025
Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
Jan-Hendrik Ewers, David Cormack, Joe Gibbs +1 more
2025
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences
Xiaojie Xu, Zongyuan Li, Chang Lu +10 more
2025
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam +3 more
2025
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty, Robin Matzner, Rasoul Sadeghi +2 more
2025
A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
Vatsal Maru
2025
Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum
Yihong Liu, Dongyeop Kang, Sehoon Ha
2025
A Novel Gain Modeling Technique for LLC Resonant Converters based on The Hybrid Deep-Learning/GMDH Neural Network
Parham Mohammadi
2025
Sensing-based Robustness Challenges in Agricultural Robotic Harvesting
C. Beldek, J. Cunningham, M. Aydin +3 more
2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao, Xinling Yu, Xian Xiao +6 more
2025
Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement Learning
Yi-Hsuan Hsiao, Wei-Tung Chen, Yun-Sheng Chang +2 more
2025
X-IL: Exploring the Design Space of Imitation Learning Policies
Xiaogang Jia, Atalay Donat, Xi Huang +8 more
2025
Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
Allen M. Wang, Alessandro Pau, Cristina Rea +12 more
2025
Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
Zhan Wang, Chen Weidong, Huang Zhifeng +2 more
2025
TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
Hui Wang, Xufeng Zhang, Xiaoyu Zhang +2 more
2025
Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market
Jun Jiang, Yuanliang Li, Luyang Hou +4 more
2025
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
Manan Tayal, Aditya Singh, Shishir Kolathaya +1 more
2025
PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
In-Chang Baek, Sung-Hyun Kim, Sam Earle +4 more
2025
Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachability
Shiyue Zhao, Junzhi Zhang, Rui Zhou +4 more
2025
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Ali Younis, Erik B. Sudderth
2025