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 ✕Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Yushen Liu, Yin-Jen Chen, Ziyi Chen +4 more
2026
PreFT: Prefill-only finetuning for efficient inference
Andrew Lanpouthakoun, Aryaman Arora, Zhengxuan Wu +4 more
2026
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
Rajeev Yasarla, Deepti Hegde, Hsin-Pai Cheng +9 more
2026
Optimal design of solar-battery hybrid resources considering multi-market participation under weather and price uncertainty
Hikaru Hoshino, Taiyo Mantani, Eiko Furutani
2026
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1 more
2026
Ergodic Imitation for Adaptive Exploration around Demonstrations
Ziyi Xu, Cem Bilaloglu, Yiming Li +1 more
2026
Learning POMDP World Models from Observations with Language-Model Priors
Valentin Six, Frederik Panse, Mathis Fajeau +7 more
2026
Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems
Arkady Gonoskov
2026
Learning a Contracting KKL-observer with Local Optimal Guarantees
Clara Lucía Galimberti, Johan Peralez, Daniele Astolfi +2 more
2026
RotVLA: Rotational Latent Action for Vision-Language-Action Model
Qiwei Li, Xicheng Gong, Xinghang Li +5 more
2026
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
Tobias Schmähling, Matthias Burkhardt, Tobias Windisch
2026
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi +12 more
2026
Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
Ehsan Aghazadeh, Masoud Malekzadeh, Ahmad Ghasemi +1 more
2026
Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots
Navid Feizi, Filipe C. Pedrosa, Rajni V. Patel +1 more
2026
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
2026
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao Liu
2026
3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots
Chiara Castellani, Enrico Turco, Domenico Prattichizzo
2026
Driving Intents Amplify Planning-Oriented Reinforcement Learning
Hengtong Lu, Victor Shea-Jay Huang, Chengmin Yang +4 more
2026
Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding
Celle Hendrickx, Fabio Pavirani, Chris Develder
2026
Aligning Flow Map Policies with Optimal Q-Guidance
Christos Ziakas, Alessandra Russo, Avishek Joey Bose
2026
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
Xiaosong Jia, Bowen Yang, Zuhao Ge +17 more
2026
Manifold Sampling via Entropy Maximization
Cornelius V. Braun, Tilman Burghoff, Marc Toussaint
2026
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
Matthew M. Hong, Jesse Zhang, Anusha Nagabandi +1 more
2026
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation
Hendrik Schäfke, Daniel O. M. Weber, Askar Vagapov +3 more
2026