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 ✕SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
Yao-Hui Li, Zeyu Wang, Xin Li +7 more
2026
Hierarchical Proportion Models for Motion Generation via Integration of Motion Primitives
Yu-Han Shu, Toshiaki Tsuji, Sho Sakaino
2026
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
Zhe Xu
2026
Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control
Quanquan Peng, Yunfeng Lin, Yufei Xue +2 more
2026
Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach
Xiaocai Zhang, Neema Nassir, Lok Sang Chan +1 more
2026
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
Xiaoyuan Cheng, Wenxuan Yuan, Boyang Li +7 more
2026
Spatiotemporal Decision Transformer for Traffic Coordination
Haoran Su, Yandong Sun, Hanxiao Deng
2026
Latent Perspective-Taking via a Schrödinger Bridge in Influence-Augmented Local Models
Kevin Alcedo, Pedro U. Lima, Rachid Alami
2026
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
2026
Adaptive Linear Path Model-Based Diffusion
Yutaka Shimizu, Masayoshi Tomizuka
2026
Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
Dan Haramati, Carl Qi, Tal Daniel +3 more
2026
TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
Zhiyu Huang, Yun Zhang, Johnson Liu +3 more
2026
Adaptive Control in Autonomous Driving via Real-Time Recurrent RL
Julian Lemmel, Felix Resch, Mónika Farsang +3 more
2026
DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations
Minghao Li, Ruihang Wang, Rui Tan +1 more
2026
Reformulating AI-based Multi-Object Relative State Estimation for Aleatoric Uncertainty-based Outlier Rejection of Partial Measurements
Thomas Jantos, Giulio Delama, Stephan Weiss +1 more
2026
ForSim: Stepwise Forward Simulation for Traffic Policy Fine-Tuning
Keyu Chen, Wenchao Sun, Hao Cheng +2 more
2026
VLM-Guided Experience Replay
Elad Sharony, Tom Jurgenson, Orr Krupnik +2 more
2026
Scientific Machine Learning for Resilient EV-Grid Planning and Decision Support Under Extreme Events
Yifan Wang
2026
PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
Shunpeng Yang, Ben Liu, Hua Chen
2026
Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control
Ali Forootani, Raffaele Iervolino
2026
Offline Discovery of Interpretable Skills from Multi-Task Trajectories
Chongyu Zhu, Mithun Vanniasinghe, Jiayu Chen +1 more
2026
SanD-Planner: Sample-Efficient Diffusion Planner in B-Spline Space for Robust Local Navigation
Jincheng Wang, Lingfan Bao, Tong Yang +3 more
2026
VVLoc: Prior-free 3-DoF Vehicle Visual Localization
Ze Huang, Zhongyang Xiao, Mingliang Song +3 more
2026
Physics-informed Diffusion Mamba Transformer for Real-world Driving
Hang Zhou, Qiang Zhang, Peiran Liu +3 more
2026