Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(27,419)
Clear ✕Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
Zixuan Hu, Xuantuo Huang, Yancheng Li +3 more
2026
Learning-based fault-tolerant control for flexible joint robotic manipulators: An actor-critic framework with experimental verification.
Gao H, He C, Chen T +1 more
ISA transactions · 2026
RED: Adaptive Real-Time DAG Scheduling for Robotic Inference under Environmental Dynamics
Zexin Li, Tao Ren, Johnathan Liu +2 more
2026
Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
Ismail Geles, Leonard Bauersfeld, Markus Wulfmeier +1 more
2026
N3P: Accelerated Automated Parking via a Learning-Based Naturalistic Three-Stage Scheme
Yifan Xue, Toktam Mohammadnejad, Faizan M Tariq +5 more
2026
SE3Kit: A Lightweight Python Library for Specialized Geometric Primitives in Robotics
Daniyal Maroufi, Omid Rezayof, Farshid Alambeigi
2026
Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
Sayan Mitra, Ege Yuceel, Noah Giles +1 more
2026
SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control
Jingyan Zhang, Han Liang, Ruichi Zhang +6 more
2026
Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
Lorenzo Mazza, Massimiliano Datres, Ariel Rodriguez +3 more
2026
Kernel-Based Safe Exploration in Deep Reinforcement Learning
Rupak Majumdar, Nikhil Singh, Sadegh Soudjani
2026
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
Mingkai Deng, Jinyu Hou, Lara Sá Neves +4 more
2026
Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review
Joseph Nyangon
2026
On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents
Oliver Mortensen, Mohammad Sadegh Talebi
2026
Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
Riwa Karam, Ruoyu Lin, Brooks A. Butler +1 more
2026
Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
Hongzhi Ruan, Pei Liu, Weiliang Ma +5 more
2026
Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions
Xinyi Wang, Taekyung Kim, Bardh Hoxha +2 more
2026
Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
Austin Braniff, Yuhe Tian
2026
Domain-Adaptable Reinforcement Learning for Code Generation with Dense Rewards
Erfan Aghadavoodi Jolfaei, Daniel Maninger, Abhinav Anand +2 more
2026
Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
Mohamed Khair Altrabulsi, Nouhaila Innan, Alberto Marchisio +2 more
2026
A Semantic and Occlusion-Aware GM-PHD Filter
Jovan Menezes, Mark Campbell
2026
Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition
Benedict Quartey, Sebastian Castro, Eric Rosen +3 more
2026
Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines
Caicheng Wang, Zili Wang, Shuyou Zhang +4 more
2026
Mechanistic Interpretability for Learning Assurance of a Vision-Based Landing System
Romeo Valentin, Olivia Beyer Bruvik, Marc R. Schlichting +1 more
2026
Quadratic Characterizations for Reachability Analysis of Neural Networks
Elias Khalife, Mazen Farhood, Pierre-Loic Garoche
2026