Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕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
Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition
Jim Dai, Manxi Wu, Zhanhao Zhang
2025
Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
Aueaphum Aueawatthanaphisut, Nyi Wunna Tun
2025
Information-Theoretic Policy Pre-Training with Empowerment
Moritz Schneider, Robert Krug, Narunas Vaskevicius +3 more
2025
Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
Yuhang Zhang, Jiaping Xiao, Chao Yan +1 more
2025
DREAMer-VXS: A Latent World Model for Sample-Efficient AGV Exploration in Stochastic, Unobserved Environments
Agniprabha Chakraborty
2025
Adaptive Dynamics Planning for Robot Navigation
Yuanjie Lu, Mingyang Mao, Tong Xu +3 more
2025
Control of dynamical systems with neural networks
Lucas Böttcher
2025
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
Yixiao Wang, Mingxiao Huo, Zhixuan Liang +8 more
2025