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 ✕OAT: Ordered Action Tokenization
Chaoqi Liu, Xiaoshen Han, Jiawei Gao +3 more
2026
Lyapunov Constrained Soft Actor-Critic (LC-SAC) using Koopman Operator Theory for Quadrotor Trajectory Tracking
Dhruv S. Kushwaha, Zoleikha A. Biron
2026
VLS: Steering Pretrained Robot Policies via Vision-Language Models
Shuo Liu, Ishneet Sukhvinder Singh, Yiqing Xu +2 more
2026
Safety-Critical Reinforcement Learning with Viability-Based Action Shielding for Hypersonic Longitudinal Flight
Hossein Rastgoftar
2026
Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts
Eymen Ipek, Mario Hirz
2026
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