Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,878)
Clear ✕Sharp Hybrid Zonotopes: Set Operations and the Reformulation-linearization Technique
Jonah J. Glunt, Joshua A. Robbins, Jacob A. Siefert +2 more
2025
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2 more
2025
Federated Digital Twin Construction via Distributed Sensing: A Game-Theoretic Online Optimization with Overlapping Coalitions
Ruoyang Chen, Changyan Yi, Fuhui Zhou +3 more
2025
Physics-Informed Deep B-Spline Networks
Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi +1 more
2025
Deep Q-Learning with Gradient Target Tracking
Bum Geun Park, Taeho Lee, Donghwan Lee
2025
Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach
Burak Dindar, Can Berk Saner, Hüseyin K. Çakmak +1 more
2025
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Junho Kim, Gwangtak Bae, Eun Sun Lee +1 more
2025
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
Linji Wang, Tong Xu, Yuanjie Lu +1 more
2025
Robotic Paper Wrapping by Learning Force Control
Hiroki Hanai, Takuya Kiyokawa, Weiwei Wan +1 more
2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
Luc McCutcheon, Bahman Gharesifard, Saber Fallah
2025
Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems
Brandon C. Fallin, Cristian F. Nino, Omkar Sudhir Patil +2 more
2025
Automated Functional Decomposition for Hybrid Zonotope Over-approximations with Application to LSTM Networks
Jonah J. Glunt, Jacob A. Siefert, Andrew F. Thompson +2 more
2025
A Personalized Data-Driven Generative Model of Human Repetitive Motion
Angelo Di Porzio, Marco Coraggio
2025
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR
Wenjie Huang, Yang Li, Shijie Yuan +3 more
2025
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control
Stelios Zarifis, Ioannis Kordonis, Petros Maragos
2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav, Somjit Nath, Vincent Michalski +1 more
2025
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence
Yidan Wu, Yu Yu, Jianan Zhang +1 more
2025
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
Zihao Liu, Xing Liu, Yizhai Zhang +2 more
2025
On a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion
Shunpei Fujii, Kanta Tachibana
2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Usman Syed, Bin Hu
2025
Quantization-Free Autoregressive Action Transformer
Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach +1 more
2025
Vanishing Stacked-Residual PINN for State Reconstruction of Hyperbolic Systems
Katayoun Eshkofti, Matthieu Barreau
2025
Sheaf-Theoretic Causal Emergence for Resilience Analysis in Distributed Systems
Anatoly A. Krasnovsky
2025
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo +1 more
2025