Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕Constrained Meta Reinforcement Learning with Provable Test-Time Safety
Tingting Ni, Maryam Kamgarpour
2026
BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections
Yuansheng Lian, Ke Zhang, Yaming Guo +2 more
2026
Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning
Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov +5 more
2026
Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter
Byeongjun Kim, H. Jin Kim
2026
Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed
Minjae Kwon, Josephine Lamp, Lu Feng
2026
Distributional Active Inference
Abdullah Akgül, Gulcin Baykal, Manuel Haußmann +2 more
2026
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
2026
Advancing Open-source World Models
Robbyant Team, Zelin Gao, Qiuyu Wang +17 more
2026
Curriculum-Learned Vanishing Stacked Residual PINNs for Hyperbolic PDE State Reconstruction
Katayoun Eshkofti, Matthieu Barreau
2026
RF-MatID: Dataset and Benchmark for Radio Frequency Material Identification
Xinyan Chen, Qinchun Li, Ruiqin Ma +3 more
2026
A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures
Ganesh Sundaram, Tobias Gehra, Jonas Ulmen +3 more
2026
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
Octavio Pappalardo
2026
Component-Aware Pruning Framework for Neural Network Controllers via Gradient-Based Importance Estimation
Ganesh Sundaram, Jonas Ulmen, Daniel Görges
2026
Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow
Yunyue Wei, Chenhui Zuo, Yanan Sui
2026
Improved Initialization for Port-Hamiltonian Neural Network Models
G. J. E. van Otterdijk, S. Weiland, M. Schoukens
2026
Safe Exploration via Policy Priors
Manuel Wendl, Yarden As, Manish Prajapat +3 more
2026
Reinforcement Learning Goal-Reaching Control with Guaranteed Lyapunov-Like Stabilizer for Mobile Robots
Mehdi Heydari Shahna, Seyed Adel Alizadeh Kolagar, Jouni Mattila
2026
Task-Centric Policy Optimization from Misaligned Motion Priors
Ziang Zheng, Kai Feng, Yi Nie +1 more
2026
Self-Supervised Path Planning in Unstructured Environments via Global-Guided Differentiable Hard Constraint Projection
Ziqian Wang, Chenxi Fang, Zhen Zhang
2026
Model-Free Output Feedback Stabilization via Policy Gradient Methods
Ankang Zhang, Ming Chi, Xiaoling Wang +1 more
2026
iFAN Ecosystem: A Unified AI, Digital Twin, Cyber-Physical Security, and Robotics Environment for Advanced Nuclear Simulation and Operations
Youndo Do, Chad Meece, Marc Zebrowitz +7 more
2026
Machine Learning-Based Evaluation of Attitude Sensor Characteristics Using Microsatellite Flight Data
Yuji Sakamoto
2026
Multi-Objective Reinforcement Learning for Efficient Tactical Decision Making for Trucks in Highway Traffic
Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
2026
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
Yilie Huang, Wenpin Tang, Xunyu Zhou
2026