Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Less Is More: Scalable Visual Navigation from Limited Data
Yves Inglin, Jonas Frey, Changan Chen +1 more
2026
A Capsule-Sized Multi-Wavelength Wireless Optical System for Edge-AI-Based Classification of Gastrointestinal Bleeding Flow Rate
Yunhao Bian, Dawei Wang, Mingyang Shen +5 more
2026
Quantum-Inspired Episode Selection for Monte Carlo Reinforcement Learning via QUBO Optimization
Hadi Salloum, Ali Jnadi, Yaroslav Kholodov +1 more
2026
A new approach for combined model class selection and parameters learning for auto-regressive neural models
Corrado Sgadari, Alessio La Bella, Marcello Farina
2026
Mixture-of-Models: Unifying Heterogeneous Agents via N-Way Self-Evaluating Deliberation
Tims Pecerskis, Aivars Smirnovs
2026
Identification of Port-Hamiltonian Differential-Algebraic Equations from Input-Output Data
N. Hagelaars, G. J. E. van Otterdijk, S. Moradi +3 more
2026
ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
Xingchen Li, Keyou You
2026
A Feature Extraction Pipeline for Enhancing Lightweight Neural Networks in sEMG-based Joint Torque Estimation
Kartik Chari, Raid Dokhan, Anas Homsi +2 more
2026
A Cognitive Framework for Autonomous Agents: Toward Human-Inspired Design
Francesco Guidi, Jingfeng Shan, Mehrdad Saeidi +8 more
2026
Zero-Shot MARL Benchmark in the Cyber-Physical Mobility Lab
Julius Beerwerth, Jianye Xu, Simon Schäfer +2 more
2026
Dynamic Tactile Sensing System and Soft Actor Critic Reinforcement Learning for Inclusion Characterization
John Bannan, Nazia Rahman, Chang-Hee Won
2026
Off-Policy Actor-Critic with Sigmoid-Bounded Entropy for Real-World Robot Learning
Xiefeng Wu, Mingyu Hu, Shu Zhang
2026
D-Optimality-Guided Reinforcement Learning for Efficient Open-Loop Calibration of a 3-DOF Ankle Rehabilitation Robot
Qifan Hu, Branko Celler, Weidong Mu +1 more
2026
MonoRace: Winning Champion-Level Drone Racing with Robust Monocular AI
Stavrow A. Bahnam, Robin Ferede, Till M. Blaha +6 more
2026
Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations
Natanon Tongamrak, Kannapha Amaruchkul, Wijarn Wangdee +1 more
2026
ExPrIS: Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data
Marian Renz, Martin Günther, Felix Igelbrink +2 more
2026
FARE: Fast-Slow Agentic Robotic Exploration
Shuhao Liao, Xuxin Lv, Jeric Lew +6 more
2026
Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A. R. Liisberg +1 more
2026
Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions
Asim H. Gazi, Yongyi Guo, Daiqi Gao +3 more
2026
Input-to-State Stabilizing Neural Controllers for Unknown Switched Nonlinear Systems within Compact Sets
Bhabani Shankar Dey, Ahan Basu, Pushpak Jagtap
2026
UniCon: A Unified System for Efficient Robot Learning Transfers
Yunfeng Lin, Li Xu, Yong Yu +2 more
2026
Q-learning with Adjoint Matching
Qiyang Li, Sergey Levine
2026
When Backdoors Meet Partial Observability: Attacking Real-World Reinforcement Learning
Tairan Huang, Qingqing Ye, Yulin Jin +4 more
2026
Research on Adaptive Inertial Control in Synchronization Systems: Based on Variational Optimization Methods and Their Applications in the Stability of Complex Networks
Yiwei Zhou, Zhongcheng Lei, Xiaoran Dai +2 more
2026