Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕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
World Models as an Intermediary between Agents and the Real World
Sherry Yang
2026
On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration
Yujie Yang, Zhilong Zheng, Shengbo Eben Li
2026
Model-Based Data-Efficient and Robust Reinforcement Learning
Ludvig Svedlund, Constantin Cronrath, Jonas Fredriksson +1 more
2026