Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,798)
Clear ✕Approximate Dynamic Optimization via Deep Neural Operators
Amin Nassaji, Ilias Mitrai, Prodromos Daoutidis
2026
Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models
Xinyi Xie, Zican Hu, Zhanyu Liu +7 more
2026
Learning Robust Control Lyapunov Functions through Lipschitz Neural Networks
Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami
2026
Data-Driven Discovery of Multiscale Power System Oscillation Governing Equations Using SINDy-SENDAI
Andrea Pomarico, Yuxuan Bao, Liyao Mars Gao +4 more
2026
Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems
Hyunsoo Lee, Panggah Prabawa, Dae-Hyun Choi +1 more
2026
Layout-independent actuation allocator for fin-actuated marine robots
Yuya Hamamatsu, Maarja Kruusmaa, Asko Ristolainen
2026
Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization
Georg Schäfer, Jakob Rehrl, Stefan Huber +1 more
2026
Anticipatory Reinforcement Learning for Trajectory Tracking
Georg Schäfer, Jakob Rehrl, Stefan Huber +1 more
2026
Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System
Georg Schäfer, Jakob Rehrl, Stefan Huber
2026
A blockchain-enabled multi-objective reinforcement learning framework for secure energy- and time-efficient smart path planning in cloud environments.
Dewangan RR, Thombre D, Parganiha V +4 more
Scientific reports · 2026
Educational technology and cognitive diversity: exploring attitudinal responses of autistic students.
Cerdán-Chacón A, Lorenzo G, Meliá S +1 more
Disability and rehabilitation. Assistive technology · 2026
A Spiking Sequence Generator for Polar Trajectories on Neuromorphic Hardware
William R. P. Nourse, Roger D. Quinn
2026
Optimality-Informed Neural Networks for Lunar Landing Trajectory Optimization
Zhenbo Wang
2026
Physics-Informed Dynamic State Estimation for Current Transformers Using Graph Neural Networks
Michael A. Boateng, Gabriel Gauderman, Nathalie Uwamahoro
2026
Learning Agile Intruder Interception using Differentiable Quadrotor Dynamics
Michael Anoruo, Xiaoyu Tian, Abhishek Rathod +5 more
2026
ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning
Yilie Huang, Wenpin Tang, Xun Yu Zhou
2026
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen +2 more
2026
Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning
Ruiheng Jiang, Thomas Bi, Raffaello D'Andrea +1 more
2026
Split-Gate Memtransistors for Energy-Efficient Adaptive Reinforcement Learning.
Qian JH, Liu KJ, Jayasinghe N +9 more
ACS nano · 2026
Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks
Tong Duy Son, Marc Brughmans, Andrey Hense +4 more
2026
Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection
Patrick Quinn, Bala Prenith Reddy Gopu, George M. Nehma +1 more
2026
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics
Jeffrey Fang, Keyi Shen, Anutam Srinivasan +1 more
2026
AMBUSH: Collaborative Capture in Complex Environments with Neural Acceleration
Junfeng Chen, YinHang Luo, Xinyi Wang +2 more
2026
Meta-Transfer Learning for mmWave Beam Alignment
Ahmet Nuri Cevik, Sinem Coleri
2026