Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
Yuchen Zhang, Ning Xi, Pengbin Feng +5 more
2026
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
2026
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele +2 more
2026
Training-Free Imitation Learning with Closed-Form Diffusion Policies
Raghav Mishra, Ian R. Manchester
2026
A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning
Md Mainul Abrar, Xun Jia, Yujie Chi
2026
Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It)
Kyle Morgenstein, Bharath Masetty, Stephen Welch +1 more
2026
Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning
Roland Andrews, Justin Carpentier, Ajay Sathya
2026
Shape Your Body: Value Gradients for Multi-Embodiment Robot Design
Nico Bohlinger, Jan Peters
2026
DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
Limin Yan, Haoyun Tang, Yutao Qiu +2 more
2026
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
Oussama Zaim, Mélodie Daniel, Aly Magassouba +2 more
2026
Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
Khurram Javed, Joseph Modayil, Gloria Kennickell +2 more
2026
Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization
Usman Nizamani, M. Shaheer Luqman, Fawad Javed Fateh +4 more
2026
FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
Sungha Kim, Gawon Lee, Jusuk Lee +3 more
2026
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?
Stephane Hatgis-Kessell, Emma Brunskill
2026
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
Faiq Shamass
2026
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
Arif Hassan Zidan, Yi Pan, Hanqi Jiang +17 more
2026
A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
Yufei Jia, Zhanxiang Cao, Mingrui Yu +17 more
2026
Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
Shutong Ding, Zejia Zhong, Zhongyi Wang +4 more
2026
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
Felix Koch, Thomas Krug, Fabian Raisch +2 more
2026
Joint Angle Estimation with Customized Wristband Based on Online Incremental Learning
Shuo Wang, Xiaobin Chen, Xiaoming Tao
2026
Momentum Based Reward Design for Low Emission Traffic Signal Control
Chinmay Mundane, Amith Manoharan, Arun Singh
2026
Access Sets Matter: Budgeting Expert Reads for Scalable Weight-Space Model Merging
Yuanyi Wang, Yanggan Gu, Su Lu +5 more
2026
MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models
Tianzhuo Yang, Zihan Shen, Zirui Mi +7 more
2026
The influence of sense of agency on learning structured regularities: an artificial grammar learning study.
Haxhi R, Woźniak M, Wykowska A
Psychological research · 2026