Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
Mingyang Sun, Pengxiang Ding, Weinan Zhang +1 more
2025
Towards Robust Zero-Shot Reinforcement Learning
Kexin Zheng, Lauriane Teyssier, Yinan Zheng +2 more
2025
Towards Automated Chicken Deboning via Learning-based Dynamically-Adaptive 6-DoF Multi-Material Cutting
Zhaodong Yang, Ai-Ping Hu, Harish Ravichandar
2025
ASBI: Leveraging Informative Real-World Data for Active Black-Box Simulator Tuning
Gahee Kim, Takamitsu Matsubara
2025
DRL-Based Resource Allocation for Energy-Efficient IRS-Assisted UAV Spectrum Sharing Systems
Yiheng Wang
2025
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Muhy Eddin Za'ter, Bri-Mathias Hodge, Kyri Baker
2025
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
Muhy Eddin Za'ter, Bri-Mathias Hodge
2025
CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
Lizhi Yang, Blake Werner, Massimiliano de Sa +1 more
2025
VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
Binghao Huang, Jie Xu, Iretiayo Akinola +8 more
2025
Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey
Honglei Ma, Erwu Liu, Wei Ni +5 more
2025
SkyDreamer: Interpretable End-to-End Vision-Based Drone Racing with Model-Based Reinforcement Learning
Aderik Verraest, Stavrow Bahnam, Robin Ferede +2 more
2025
Logic-based Task Representation and Reward Shaping in Multiagent Reinforcement Learning
Nishant Doshi
2025
Learning Human-Humanoid Coordination for Collaborative Object Carrying
Yushi Du, Yixuan Li, Baoxiong Jia +5 more
2025
TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks
Jianzhu Yao, Hongxu Su, Taobo Liao +4 more
2025
DiffOPF: Diffusion Solver for Optimal Power Flow
Milad Hoseinpour, Vladimir Dvorkin
2025
A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking
Mingyang Jiang, Yueyuan Li, Jiaru Zhang +2 more
2025
MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
Xue Bin Peng
2025
Provably Invincible Adversarial Attacks on Reinforcement Learning Systems: A Rate-Distortion Information-Theoretic Approach
Ziqing Lu, Lifeng Lai, Weiyu Xu
2025
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
Johan Obando-Ceron, Walter Mayor, Samuel Lavoie +3 more
2025
Quantum-Driven State-Reduction for Reliable UAV Trajectory Optimization in Low-Altitude Networks
Zeeshan Kaleem, Muhammad Afaq, Chau Yuen +2 more
2025
Physics-Informed Neural Network Modeling of Vehicle Collision Dynamics in Precision Immobilization Technique Maneuvers
Yangye Jiang, Jiachen Wang, Daofei Li
2025
A New Perspective on Transformers in Online Reinforcement Learning for Continuous Control
Nikita Kachaev, Daniil Zelezetsky, Egor Cherepanov +2 more
2025
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
Jingyu Song, Zhenxin Li, Shiyi Lan +6 more
2025
EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
Kunyu Peng, Di Wen, Kailun Yang +9 more
2025