Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕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
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Xiaoji Zheng, Ziyuan Yang, Yanhao Chen +5 more
2025
Robot Learning: A Tutorial
Francesco Capuano, Caroline Pascal, Adil Zouitine +2 more
2025
Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
Stavros Orfanoudakis, Frans A. Oliehoek, Peter Palensky +1 more
2025
Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication
Sami Khairy, Gabriel Mittag, Vishak Gopal +1 more
2025
Ego-Vision World Model for Humanoid Contact Planning
Hang Liu, Yuman Gao, Sangli Teng +5 more
2025
A Physics-Informed Reinforcement Learning Approach for Degradation-Aware Long-Term Charging Optimization in Batteries
Shanthan Kumar Padisala, Bharatkumar Hegde, Ibrahim Haskara +1 more
2025
Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
Emran Yasser Moustafa, Ivana Dusparic
2025
Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning
Ardian Selmonaj, Giacomo Del Rio, Adrian Schneider +1 more
2025