Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Actor-Identifier-Critic Reinforcement Learning for Adaptive Model-Free Optimal Control of Nonlinear Systems with Stochastic Packet Dropouts
Kianoush Aqabakee, Kosar Behnia, Amirhossein Heydarian Ardakani +2 more
2026
Towards Autonomous Commissioning of Industrial Drives via Multi-Objective Bayesian Optimization
David Petrovic, Gian Antonio Susto, Angelo Cenedese
2026
CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4 more
2026
Teacher-Student Representational Alignment for Reinforcement Learning-Driven Imitation Learning
Meraj Mammadov, Pedro Zuidberg Dos Martires, Johannes Andreas Stork
2026
Accelerating Robot Path Planning via Connectivity-Preserving Region Proposal Network
Zhanzheng Ma, Cancan Zhao, Shuai Zhang +1 more
2026
ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
Yu Zhang, Yidi Shao, Wenqi Ouyang +5 more
2026
HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning
Kevin Lin, Ajay Mandlekar, Caelan Reed Garrett +7 more
2026
SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication
Mahmoud Abouelyazid, Eman Hammad
2026
Adversarial Dual On-Policy Distillation from Expressive Flow-based Teacher
Zhenglin Wan, Jingxuan Wu, Xingrui Yu +5 more
2026
Trust Region Q Adjoint Matching
Yonghoon Dong, Kyungmin Lee, Changyeon Kim +2 more
2026
Probabilistic Recurrent Intention Switching Model
Wenyuan Sheng, Hao Zhu, Joschka Boedecker
2026
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
Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming
Oleh Borys, Karla Stepanova
2026
Can VLA Models Learn from Real-World Data Continually without Forgetting?
Jiarun Zhu, Yijun Hong, Xiaoquan Sun +5 more
2026
Incentive-Based Load Curtailment with Limited Information: A Bilevel Zeroth-Order Learning Approach
Zhisen Jiang, Florian Dörfler, Saverio Bolognani
2026
Enforcing Soft Monotonicity Constraints for Recursive Gaussian Process Regression in Real Time
Ricus Husmann, Sven Weishaupt, Harald Aschemann
2026
Ratio-Variance Regularized Policy Optimization
Yu Luo, Shuo Han, Yihan Hu +5 more
2026
Manipulating Tangible Virtual Object Dynamics to Promote Learning of Precision Force Generation
Alberto Garzás-Villar, Alba Riera-Cardona, Alexis Derumigny +3 more
2026
On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning
Thomas Lips, Marco Moletta, Michael C. Welle +2 more
2026
L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
Quan Quan, Hao Li
2026
Sample Complexity of Policy Gradient for Log-Growth Control
Qiuhua Pan, Yukai Shen, Liwei Zhang +2 more
2026
Enabling Extensible Embodied Capabilities with Tools
Xueyang Zhou, Zijia Wang, Qianjiang Li +7 more
2026
Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty
Chayan Banerjee, Ethan Goan
2026
Efficient stochastic model-predictive control based on the meta-state-space representation
Bendegúz Györök, Roland Tóth, Maarten Schoukens +1 more
2026