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 ✕Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning
Ram Ramrakhya, Matthew Chang, Xavier Puig +3 more
2025
Boosting the transient performance of reference tracking controllers with neural networks
Nicolas Kirsch, Leonardo Massai, Giancarlo Ferrari-Trecate
2025
Agile Temporal Discretization for Symbolic Optimal Control
Adrien Janssens, Adrien Banse, Julien Calbert +1 more
2025
Reinforcement learning for robust dynamic metabolic control
Sebastián Espinel-Ríos, River Walser, Dongda Zhang
2025
Probabilistically safe and efficient model-based reinforcement learning
Filippo Airaldi, Bart De Schutter, Azita Dabiri
2025
Nuclear Microreactor Control with Deep Reinforcement Learning
Leo Tunkle, Kamal Abdulraheem, Linyu Lin +1 more
2025
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation
Mattia Scarpa, Francesco Pase, Ruggero Carli +2 more
2025
Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
Diego Machain Rivera, Selen Ercan Jenny, Ping Hsun Tsai +4 more
2025
An ANN-Enhanced Approach for Flatness-Based Constrained Control of Nonlinear Systems
Huu-Thinh Do, Ionela Prodan, Florin Stoican
2025
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks
Yang Li, Shitu Zhang, Yuanzheng Li
2025
Certified Approximate Reachability (CARe): Formal Error Bounds on Deep Learning of Reachable Sets
Prashant Solanki, Nikolaus Vertovec, Yannik Schnitzer +3 more
2025
L2RU: a Structured State Space Model with prescribed L2-bound
Leonardo Massai, Muhammad Zakwan, Giancarlo Ferrari-Trecate
2025
Autonomous Learning with High-Dimensional Computing Architecture Similar to von Neumann's
Pentti Kanerva
2025
Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics
Jianhua Zhang, Yansong He, Hao Chen
2025
Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments
Yifan Xu, Vineet Kamat, Carol Menassa
2025
Markov Potential Game Construction and Multi-Agent Reinforcement Learning with Applications to Autonomous Driving
Huiwen Yan, Mushuang Liu
2025
Polyhedral Enclosures: An Efficient Combinatorial Abstraction for Nonlinear Neural Feedback Systems
I. Samuel Akinwande, Chelsea Sidrane, Mykel J. Kochenderfer +1 more
2025
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
Adam Wei, Abhinav Agarwal, Boyuan Chen +3 more
2025
Neural Identification of Feedback-Stabilized Nonlinear Systems
Mahrokh G. Boroujeni, Laura Meroi, Leonardo Massai +2 more
2025
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations
Rajdeep Singh Hundal, Yan Xiao, Xiaochun Cao +2 more
2025
Robust Offline Imitation Learning Through State-level Trajectory Stitching
Shuze Wang, Yunpeng Mei, Hongjie Cao +4 more
2025
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models
Collin R. Johnson, Stijn de Vries, Kerstin Wohlgemuth +1 more
2025
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio Chanona +1 more
2025
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
Heng Zhang, Gokhan Solak, Arash Ajoudani
2025