Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕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
Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
Roman Küble, Marco Hüller, Mrunmai Phatak +2 more
2026
Bayesian Learning-Enhanced Navigation with Deep Smoothing for Inertial-Aided Navigation
Nadav Cohen, Itzik Klein
2026
DRL-Based Spectrum Sharing for RIS-Aided Local High-Quality Wireless Networks
Hamid Reza Hashempour, Mina Khadem, Eduard A. Jorswieck
2026
Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
Ziyan Wang, Peng Chen, Ding Li +4 more
2026
COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
Yifeng Zhang, Jieming Chen, Tingguang Zhou +4 more
2026
CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control
Xibei Chen, Yifeng Zhang, Yuxiang Xiao +3 more
2026
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Pengxuan Yang, Yupeng Zheng, Deheng Qian +11 more
2026
Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Mihaela-Larisa Clement, Mónika Farsang, Agnes Poks +4 more
2026
CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
Yifeng Zhang, Harsh Goel, Peizhuo Li +3 more
2026
LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
Yifeng Zhang, Peizhuo Li, Tingguang Zhou +2 more
2026
Evidence of an Emergent "Self" in Continual Robot Learning
Adidev Jhunjhunwala, Judah Goldfeder, Hod Lipson
2026
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Dogan Urgun, Gokhan Gungor
2026
C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile Agents
Guihlerme Daubt, Adrian Redder
2026
The impact of sensor placement on graph-neural-network-based leakage detection
J. J. H. van Gemert, V. Breschi, D. R. Yntema +2 more
2026
Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
Guopeng Li, Matthijs T. J. Spaan, Julian F. P. Kooij
2026