LEARNING
Open access
Probabilistic Recurrent Intention Switching Model
Wenyuan Sheng, Hao Zhu, Joschka Boedecker
2026
🔬 Robotics Research
Frontline publications — filter by field, year, open access.
810 papers · page 20 / 34
HRI
Open access
Towards Shared Embodied Intelligence in Humanoid Robots through Optimization Development and Testing of the Human Aware ergoCub Robot
Carlotta Sartore, Mohamed Elobaid, Lorenzo Rapetti +13 more
2026
LEARNING
Open access
Trust, Geometry, and Rules: A Credibility-Aware Reinforcement Learning Framework for Safe USV Navigation under Uncertainty
Yuhang Zhang, Shuqi Chai, Yukang Zhang +5 more
2026
OTHER
Open access
Congestion Forecasting for Electric Vehicle Charging Scheduling with Fluid Queues
Joas Kahlert, Ruiting Wang, Jonas Mårtensson
2026
OTHER
Open access
Load Management of Distribution Systems via Online Dynamic Pricing
Jiarui Yu, Zhiyu He, Wenbin Wang +3 more
2026
OTHER
Open access
A Fixed-Time Sliding-Mode Framework for Constraint Optimization
Baby Diana, Priyanka Singh, Shyam Kamal +2 more
2026
SWARM
Open access
Critical Infrastructure Defense Against Aerial Swarms Under Sensing Uncertainty: Online Allocation With Finite-Time Guarantees
Shriya Pandey, Devaprakash Muniraj
2026
PERCEPTION
Open access
OSMa-Bench++: Toward Open-Ended Benchmarking of Semantic Mapping for Manipulation with Prompt-Generated Synthetic Scenes
Regina Kurkova, Maxim Popov, Sergey Kolyubin
2026
LEARNING
Open access
Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming
Oleh Borys, Karla Stepanova
2026
LEARNING
Open access
Can VLA Models Learn from Real-World Data Continually without Forgetting?
Jiarun Zhu, Yijun Hong, Xiaoquan Sun +5 more
2026
LEARNING
Open access
Incentive-Based Load Curtailment with Limited Information: A Bilevel Zeroth-Order Learning Approach
Zhisen Jiang, Florian Dörfler, Saverio Bolognani
2026
LEARNING
Open access
Enforcing Soft Monotonicity Constraints for Recursive Gaussian Process Regression in Real Time
Ricus Husmann, Sven Weishaupt, Harald Aschemann
2026
LEARNING
Open access
Ratio-Variance Regularized Policy Optimization
Yu Luo, Shuo Han, Yihan Hu +5 more
2026
OTHER
Open access
Dynamic Output-Feedback Controller Synthesis for Dissipativity and $H_2$ Performance from Noisy Input-Output Data
Pietro Kristović, Andrej Jokić, Mircea Lazar
2026
HRI
Open access
A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
Heriberto Cuayahuitl, Grace Jang
2026
HRI
Open access
Look Further: Socially-Compliant Navigation System in Residential Buildings
Akira Shiba, Marina Obata, Nathan Kau +4 more
2026
PERCEPTION
Open access
SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
Melanie Neubauer, Christian Rauch, Gerald Koinig +3 more
2026
LEARNING
Open access
On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning
Thomas Lips, Marco Moletta, Michael C. Welle +2 more
2026
LEARNING
Open access
Sample Complexity of Policy Gradient for Log-Growth Control
Qiuhua Pan, Yukai Shen, Liwei Zhang +2 more
2026
MANIPULATION
Open access
HyperSim: A Holistic Sim-To-Real Framework For Robust Robotic Manipulation
Junyi Dong, Haotian Luo, Ziwei Xu +11 more
2026
LEARNING
Open access
Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty
Chayan Banerjee, Ethan Goan
2026
LEARNING
Open access
Efficient stochastic model-predictive control based on the meta-state-space representation
Bendegúz Györök, Roland Tóth, Maarten Schoukens +1 more
2026
LEARNING
Open access
Provably Safe Motion Planning Under Unknown Disturbances
Ibon Gracia, Qi Heng Ho, Luca Laurenti +1 more
2026
LEARNING
Open access
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
Haoyu Li, Xiangru Zhong, Hao Cheng +2 more
2026