Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets
Omar M. Sleem, Sahand Kiani, Constantino M. Lagoa
2026
Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
Dennis Marquis, Mazen Farhood
2026
Surrogate Model-Based Near-Optimal Gain Selection for Approach-Angle-Constrained Two-Phase Pure Proportional Navigation
Abhigyan Roy, Shreeya Padte, Abel Viji George +2 more
2026
Distributed Snitch Digital Twin-Based Anomaly Detection for Smart Voltage Source Converter-Enabled Wind Power Systems
Mohammad Ashraf Hossain Sadi, Soham Ghosh, Siby Plathottam +1 more
2026
Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control
Balthazar Donon, Geoffroy Jamgotchian, Hugo Kulesza +1 more
2026
On ANN-enhanced positive invariance for nonlinear flat systems
Huu-Thinh Do, Ionela Prodan
2026
Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control
Siwei Ju, Jan Tauberschmidt, Oleg Arenz +2 more
2026
Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning
Dechuan Liu, Ruigang Wang, Ian R. Manchester
2026
Fully Byzantine-Resilient Distributed Multi-Agent Q-Learning
Haejoon Lee, Dimitra Panagou
2026
Data-Driven Synthesis of Probabilistic Controlled Invariant Sets for Linear MDPs
Kazumune Hashimoto, Shunki Kimura, Kazunobu Serizawa +3 more
2026
ALIVE-LIO: Degeneracy-Aware Learning of Inertial Velocity for Enhancing ESKF-Based LiDAR-Inertial Odometry
Seongjun Kim, Daehan Lee, Junwoo Hong +3 more
2026
Elastomeric Strain Limitation for Design of Soft Pneumatic Actuators
Gregory M. Campbell
2026
Deep Neural Network Based Roadwork Detection for Autonomous Driving
Sebastian Wullrich, Nicolai Steinke, Daniel Goehring
2026
Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
Klemens Iten, Bruce Lee, Chenhao Li +3 more
2026
O-ConNet: Geometry-Aware End-to-End Inference of Over-Constrained Spatial Mechanisms
Haoyu Sun, Meng Zhao, Tianhao Wang +1 more
2026
Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
Xiaofei Song, Kerstin Eder, Jonathan Lawry +1 more
2026
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
Yuejiang Liu, Fan Feng, Lingjing Kong +6 more
2026
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
Pantelis Dogoulis, Maxime Cordy
2026
Neural Network-Assisted Model Predictive Control for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1 more
2026
A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking
Robin Dehler, Martin Herrmann, Jan Strohbeck +1 more
2026
Toward Single-Step MPPI via Differentiable Predictive Control
Viet-Anh Le, Renukanandan Tumu, Rahul Mangharam
2026
Soft MPCritic: Amortized Model Predictive Value Iteration
Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2026
Efficient Equivariant Transformer for Self-Driving Agent Modeling
Scott Xu, Dian Chen, Kelvin Wong +3 more
2026
Learning Neural Network Controllers with Certified Robust Performance via Adversarial Training
Neelay Junnarkar, Yasin Sonmez, Murat Arcak
2026