Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕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
SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework
Tianshu Wu, Xiangqi Kong, Yue Chen +5 more
2026
k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics
Ben Wooding, Hongchao Zhang, Taylor T. Johnson +1 more
2026
Probing Embodied LLMs: When Higher Observation Fidelity Hurts Problem Solving
Oussama Zenkri, Oliver Brock
2026