Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
Carlos S. Sepúlveda, Gonzalo A. Ruz
2026
Competitor-aware Race Management for Electric Endurance Racing
Wytze de Vries, Erik van den Eshof, Jorn van Kampen +1 more
2026
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
Takato Shibayama, Hiroaki Kawashima
2026
Learning Certified Neural Network Controllers Using Contraction and Interval Analysis
Akash Harapanahalli, Samuel Coogan, Alexander Davydov
2026
Physics-informed line-of-sight learning for scalable deterministic channel modeling
Xiucheng Wang, Junxi Huang, Conghao Zhou +2 more
2026
Flip Stunts on Bicycle Robots using Iterative Motion Imitation
Jeonghwan Kim, Shamel Fahmi, Seungeun Rho +2 more
2026
Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
Ming Liu, Yunbei Zhang, Shilong Liu +2 more
2026
SkyNet: Belief-Aware Planning for Partially-Observable Stochastic Games
Adam Haile
2026
Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement Learning
Rishi Rani, Massimo Franceschetti
2026
Driving Condition-Aware Multi-Agent Integrated Power and Thermal Management for Hybrid Electric Vehicles
Hanghang Cui, Arash Khalatbarisoltani, Jie Han +3 more
2026
Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
2026
Online Inertia Tensor Identification for Non-Cooperative Spacecraft via Augmented UKF
Batu Candan, Simone Servadio
2026
Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement Learning
Leixin Chang, Xinchen Yao, Ben Liu +2 more
2026
HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching
Daichi Yashima, Koki Seno, Shuhei Kurita +2 more
2026
Liquid Networks with Mixture Density Heads for Efficient Imitation Learning
Nikolaus Correll
2026
Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining
Wenyao Zhang, Bozhou Zhang, Zekun Qi +3 more
2026
Addressing Ambiguity in Imitation Learning through Product of Experts based Negative Feedback
John Bateman, Andy M. Tyrrell, Jihong Zhu
2026
120 Minutes and a Laptop: Minimalist Image-goal Navigation via Unsupervised Exploration and Offline RL
Xiaoming Liu, Borong Zhang, Qingbiao Li +1 more
2026
Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
Shuyi Gao, Stavros Orfanoudakis, Shengren Hou +2 more
2026
Hierarchical Control Framework Integrating LLMs with RL for Decarbonized HVAC Operation
Dianyu Zhong, Tian Xing, Kailai Sun +6 more
2026
Firing Rate Neural Network Implementations of Model Predictive Control
Jaidev Gill, Jing Shuang Li
2026
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Jai Bardhan, Patrik Drozdik, Josef Sivic +1 more
2026
Physics-informed structured learning of a class of recurrent neural networks with guaranteed properties
Daniele Ravasio, Claudia Sbardi, Marcello Farina +1 more
2026
VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents
George Eskandar, Fengyi Shen, Mohammad Altillawi +4 more
2026