Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
Tim Walter, Hannah Markgraf, Jonathan Külz +1 more
2025
Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
Toon Van Puyvelde, Mehran Zareh, Chris Develder
2025
Two-Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
Haoyu Li, Xiangru Zhong, Bin Hu +1 more
2025
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
Yiyang Zhou, Yangfan He, Yaofeng Su +5 more
2025
Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
Jiayu Li, Masood Mortazavi, Ning Yan +2 more
2025
React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN
Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski +1 more
2025
Humanoid World Models: Open World Foundation Models for Humanoid Robotics
Muhammad Qasim Ali, Aditya Sridhar, Shahbuland Matiana +2 more
2025
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
Jiadong He, Liang Yu, Zhiqiang Chen +6 more
2025
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
Jianglin Ding, Jingcheng Tang, Gangshan Jing
2025
Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
Kordel K. France, Ovidiu Daescu
2025
TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load
Xibai Wang
2025
Distributed Intelligence in the Computing Continuum with Active Inference
Victor Casamayor Pujol, Boris Sedlak, Tommaso Salvatori +2 more
2025
Controller Design for Bilinear Neural Feedback Loops
Dhruv Shah, Jorge Cortés
2025
Composite Reward Design in PPO-Driven Adaptive Filtering
Abdullah Burkan Bereketoglu
2025
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
Dongyoung Kim, Sumin Park, Huiwon Jang +3 more
2025
Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking
Minjae Cho, Hiroyasu Tsukamoto, Huy Trong Tran
2025
Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami
2025
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
Younggyo Seo, Carmelo Sferrazza, Haoran Geng +3 more
2025
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
Yu Zhang, Yuqi Xie, Huihan Liu +4 more
2025
Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
Damola Ajeyemi, Yiting Chen, Antonin Colot +2 more
2025
When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?
Eleni Nisioti, Joachim Winther Pedersen, Erwan Plantec +2 more
2025
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
Zhongyi Zhou, Yichen Zhu, Junjie Wen +2 more
2025
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
Sunshine Jiang, Xiaolin Fang, Nicholas Roy +3 more
2025
A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem
Filippos Fotiadis, Kyriakos G. Vamvoudakis
2025