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 ✕Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems
Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala +2 more
2026
Optimal sequential decision-making for error propagation mitigation in digital twins
Annice Najafi, Shokoufeh Mirzaei
2026
A Hybrid Reinforcement and Self-Supervised Learning Aided Benders Decomposition Algorithm
Bernard T. Agyeman, Zhe Li, Ilias Mitrai +1 more
2026
Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications
Muhy Eddin Za'ter, Bri-Mathias Hodge
2026
A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge +1 more
2026
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez +2 more
2026
Shooting Neutrons at Neurons: Radiation Testing of a Spiking Neural Network on Flash-Based FPGAs
Wim Nijsink, Bruno Endres Forlin, Amirreza Yousefzadeh +1 more
2026
Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot
Yucheng Xin, Jiacheng Bao, Haoran Yang +6 more
2026
A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +3 more
2026
Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
Peter Collett, Alexander Johannes Stasik, Simone Casolo +1 more
2026
A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs
Patrick Wilk, Ethan Cantor, Yikui Liu +1 more
2026
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
Shelly Francis-Meretzki, Mirco Mutti, Yaniv Romano +1 more
2026
On Reward-Balancing Methods for Reinforcement Learning
Simone Baroncini, Bahman Gharesifard, Giuseppe Notarstefano
2026
AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking
Kui Wu, Hao Chen, Jinzhu Han +6 more
2026
Toward Safe Autonomous Robotic Endovascular Interventions using World Models
Harry Robertshaw, Nikola Fischer, Han-Ru Wu +6 more
2026
UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
Boyu Chen, Yi Chen, Lu Qiu +3 more
2026
Mask World Model: Predicting What Matters for Robust Robot Policy Learning
Yunfan Lou, Xiaowei Chi, Xiaojie Zhang +9 more
2026
PC2Model: ISPRS benchmark on 3D point cloud to model registration
Mehdi Maboudi, Said Harb, Jackson Ferrao +3 more
2026
Lyapunov-Certified Direct Switching Theory for Q-Learning
Donghwan Lee
2026
Accelerating Optimization and Machine Learning through Decentralization
Ziqin Chen, Zuang Wang, Yongqiang Wang
2026
M$^{2}$GRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit
Yukai Feng, Zhiheng Wu, Zhengxing Wu +2 more
2026
Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving
Ghadah Alosaimi, Hanadi Alhamdan, Wenke E +3 more
2026
Accelerating trajectory optimization with Sobolev-trained diffusion policies
Théotime Le Hellard, Franki Nguimatsia Tiofack, Quentin Le Lidec +1 more
2026
Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1 more
2026