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 ✕Statistically Consistent Approximate Model Predictive Control
Elias Milios, Kim P. Wabersich, Felix Berkel +2 more
2025
Quasi-Newton Compatible Actor-Critic for Deterministic Policies
Arash Bahari Kordabad, Dean Brandner, Sebastien Gros +2 more
2025
Enhancing Reinforcement Learning in 3D Environments through Semantic Segmentation: A Case Study in ViZDoom
Jin Huang
2025
Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots
Yuxi Wei, Zirui Wang, Kangning Yin +3 more
2025
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
Simon Kuang, Xinfan Lin
2025
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
Zhuhui Li, Chunbo Luo, Liming Huang +2 more
2025
Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
Andrew Rothstein, Hiro Joseph Farre-Kaga, Jalal Butt +7 more
2025
Discovering and exploiting active sensing motifs for estimation
Benjamin Cellini, Burak Boyacioglu, Austin Lopez +1 more
2025
The curse of dimensionality: what lies beyond the capabilities of physics-informed neural networks
J. Penuela, H. Ouerdane
2025
Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
Satpreet H. Singh, Sonja Johnson-Yu, Zhouyang Lu +7 more
2025
Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
Devin Hunter, Chinwendu Enyioha
2025
Filtering Jump Markov Systems with Partially Known Dynamics: A Model-Based Deep Learning Approach
George Stamatelis, George C. Alexandropoulos
2025
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
Muthukumar Pandaram, Jakob Hollenstein, David Drexel +3 more
2025
Balance Equation-based Distributionally Robust Offline Imitation Learning
Rishabh Agrawal, Yusuf Alvi, Rahul Jain +1 more
2025
Test-driven Reinforcement Learning in Continuous Control
Zhao Yu, Xiuping Wu, Liangjun Ke
2025
Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
Ihab Tabbara, Yuxuan Yang, Hussein Sibai
2025
Comparative Study of Q-Learning for State-Feedback LQG Control with an Unknown Model
Mingxiang Liu, Damián Marelli, Minyue Fu +1 more
2025
High-Altitude Balloon Station-Keeping with First Order Model Predictive Control
Myles Pasetsky, Jiawei Lin, Bradley Guo +1 more
2025
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing
Yuzhe Fu, Changchun Zhou, Hancheng Ye +6 more
2025
Unified Humanoid Fall-Safety Policy from a Few Demonstrations
Zhengjie Xu, Ye Li, Kwan-yee Lin +1 more
2025
Dynamics-Decoupled Trajectory Alignment for Sim-to-Real Transfer in Reinforcement Learning for Autonomous Driving
Thomas Steinecker, Alexander Bienemann, Denis Trescher +2 more
2025
Multi-Agent Reinforcement Learning for Deadlock Handling among Autonomous Mobile Robots
Marcel Müller
2025
Learning stabilising policies for constrained nonlinear systems
Daniele Ravasio, Danilo Saccani, Marcello Farina +1 more
2025
GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising
Yuhang Li, Yang Lu, Bo Ai +3 more
2025