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 ✕Physics-informed Deep Mixture-of-Koopmans Vehicle Dynamics Model with Dual-branch Encoder for Distributed Electric-drive Trucks
Jinyu Miao, Pu Zhang, Rujun Yan +8 more
2026
Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
Aniruddha Bora, Julie Chalfant, Chryssostomos Chryssostomidis
2026
ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization
Panuganti Chirag Sai, Gandholi Sarat, R. Raghunatha Sarma +2 more
2026
WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation
Zahin Sufiyan, Shadan Golestan, Yoshihiro Mitsuka +2 more
2026
GigaWorld-Policy: An Efficient Action-Centered World--Action Model
Angen Ye, Boyuan Wang, Chaojun Ni +17 more
2026
Shielded Reinforcement Learning Under Dynamic Temporal Logic Constraints
Sadık Bera Yüksel, Ali Tevfik Buyukkocak, Derya Aksaray
2026
Integral Quadratic Constraints for Repeated ReLU
Sahel Vahedi Noori, Bin Hu, Geir Dullerud +1 more
2026
Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
MD Abul Kashem Niloy, Adam Hallmark, Yikun Cheng +1 more
2026
Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning
Jello Zhou, Vudtiwat Ngampruetikorn, David J. Schwab
2026
Deep Learning Multi-Horizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images
Erling W. Eriksen, Magnus M. Nygård, Niklas Erdmann +1 more
2026
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Jun Liu, Pu Zhao, Zhenglun Kong +12 more
2026
Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range
Han Zhou, Haojie Chang, David Widen
2026
Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting
Wanpeng Zhang, Hao Luo, Sipeng Zheng +6 more
2026
Kamino: GPU-based Massively Parallel Simulation of Multi-Body Systems with Challenging Topologies
Vassilios Tsounis, Guirec Maloisel, Christian Schumacher +6 more
2026
Agentic AI for SAGIN Resource Management_Semantic Awareness, Orchestration, and Optimization
Linghao Zhang, Haitao Zhao, Bo Xu +2 more
2026
Fast-HaMeR: Boosting Hand Mesh Reconstruction using Knowledge Distillation
Hunain Ahmed Jillani, Ahmed Tawfik Aboukhadra, Ahmed Elhayek +3 more
2026
Onboard MuJoCo-based Model Predictive Control for Shipboard Crane with Double-Pendulum Sway Suppression
Oscar Pang, Lisa Coiffard, Paul Templier +3 more
2026
Controlling Fish Schools via Reinforcement Learning of Virtual Fish Movement
Yusuke Nishii, Hiroaki Kawashima
2026
Agile Interception of a Flying Target using Competitive Reinforcement Learning
Timothée Gavin, Simon Lacroix, Murat Bronz
2026
Deep Adaptive Model-Based Design of Experiments
Arno Strouwen, Sebastian Micluţa-Câmpeanu
2026
Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions
Goutam Das, Michael Dorothy, Kyle Volle +1 more
2026
Physicochemical-Neural Fusion for Semi-Closed-Circuit Respiratory Autonomy in Extreme Environments
Phillip Kingston, Nicholas Johnston
2026
CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
Yihong Guo, Dongqiangzi Ye, Sijia Chen +2 more
2026
NavGSim: High-Fidelity Gaussian Splatting Simulator for Large-Scale Navigation
Jiahang Liu, Yuanxing Duan, Jiazhao Zhang +4 more
2026