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 ✕Constructive Lyapunov Functions via Topology-Preserving Neural Networks
Jaehong Oh
2025
Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
Bharath Muppasani, Ritirupa Dey, Biplav Srivastava +1 more
2025
Failure Prediction at Runtime for Generative Robot Policies
Ralf Römer, Adrian Kobras, Luca Worbis +1 more
2025
MPA-DNN: Projection-Aware Unsupervised Learning for Multi-period DC-OPF
Yeomoon Kim, Minsoo Kim, Jip Kim
2025
Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
Dominik Urbaniak, Alejandro Agostini, Pol Ramon +3 more
2025
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Xinhu Li, Ayush Jain, Zhaojing Yang +2 more
2025
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
Tianhao Liang, Mu Jia, Tingting Zhang +4 more
2025
Traffic-Aware Eco-Driving Control in CAVs via Learning-based Terminal Cost Model
Mehmet Fatih Ozkan, Dennis Kibalama, Jacob Paugh +2 more
2025
Geometry-aware Policy Imitation
Yiming Li, Nael Darwiche, Amirreza Razmjoo +4 more
2025
Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform
Gregory Yeghiyan, Jurius Azar, Devson Butani +1 more
2025
Zero-Shot Policy Transfer in Reinforcement Learning using Buckingham's Pi Theorem
Francisco Pascoa, Ian Lalonde, Alexandre Girard
2025
Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Andrew Lee, Ian Chuang, Dechen Gao +2 more
2025
Co-design is powerful and not free
Yi Zhang, Yue Xie, Tao Sun +1 more
2025
Expressive Value Learning for Scalable Offline Reinforcement Learning
Nicolas Espinosa-Dice, Kiante Brantley, Wen Sun
2025
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models
Congmin Zheng, Jiachen Zhu, Zhuoying Ou +8 more
2025
GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Network
Gaurvi Goyal, Pham Cong Thuong, Arren Glover +2 more
2025
Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
Shilong Zong, Alex Bierly, Almuatazbellah Boker +1 more
2025
Automated Tinnitus Detection Through Dual-Modality Neuroimaging: EEG Microstate Analysis and Resting-State fMRI Classification Using Deep Learning
Kiana Kiashemshaki, Sina Samieirad, Sarvenaz Erfani +3 more
2025
HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
Donald Pfaffmann, Matthias Klusch, Marcel Steinmetz
2025
Falsification-driven reinforcement learning for maritime motion planning
Marlon Müller, Florian Finkeldei, Hanna Krasowski +2 more
2025
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Ke Guo, Haochen Liu, Xiaojun Wu +1 more
2025
RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models
Hongzhi Zang, Mingjie Wei, Si Xu +15 more
2025
Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy
Hamidreza Montazeri Hedesh, Milad Siami
2025
Differentiable Model Predictive Control on the GPU
Emre Adabag, Marcus Greiff, John Subosits +1 more
2025