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 ✕Scaling Synthetic Task Generation for Agents via Exploration
Ram Ramrakhya, Andrew Szot, Omar Attia +6 more
2025
MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
Heming Fu, Shan Lin, Guojun Xiong
2025
Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR Guidance
Rohan Vitthal Thorat, Juhi Singh, Rajdip Nayek
2025
Training Agents Inside of Scalable World Models
Danijar Hafner, Wilson Yan, Timothy Lillicrap
2025
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
Korbinian Moller, Roland Stroop, Mattia Piccinini +2 more
2025
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
Sheng Yang, Tong Zhan, Guancheng Chen +2 more
2025
Contextual Neural Moving Horizon Estimation for Robust Quadrotor Control in Varying Conditions
Kasra Torshizi, Chak Lam Shek, Khuzema Habib +3 more
2025
Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
Jingqi Li, Gechen Qu, Jason J. Choi +2 more
2025
ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
Tomoyuki Kagaya, Subramanian Lakshmi, Anbang Ye +6 more
2025
Solar and Wind Power Forecasting: A Comparative Review of LSTM, Random Forest, and XGBoost Models
Afsaneh Mollasalehi, Armin Farhadi
2025
Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning
Runyu Zhang, Na Li, Asuman Ozdaglar +2 more
2025
MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
Manan Tayal, Aditya Singh, Shishir Kolathaya +1 more
2025
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
Zeyuan Zhao, Chaoran Li, Shao Zhang +1 more
2025
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1 more
2025
AW-EL-PINNs: A Multi-Task Learning Physics-Informed Neural Network for Euler-Lagrange Systems in Optimal Control Problems
Chuandong Li, Runtian Zeng
2025
An Encoder-Decoder Network for Beamforming over Sparse Large-Scale MIMO Channels
Yubo Zhang, Jeremy Johnston, Xiaodong Wang
2025
Space Robotics Bench: Robot Learning Beyond Earth
Andrej Orsula, Matthieu Geist, Miguel Olivares-Mendez +1 more
2025
GLUE: Global-Local Unified Encoding for Imitation Learning via Key-Patch Tracking
Ye Chen, Zichen Zhou, Jianyu Dou +3 more
2025
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang +6 more
2025
Physically Plausible Multi-System Trajectory Generation and Symmetry Discovery
Jiayin Liu, Yulong Yang, Vineet Bansal +1 more
2025
Parameterized Hardness of Zonotope Containment and Neural Network Verification
Vincent Froese, Moritz Grillo, Christoph Hertrich +1 more
2025
Generative Modeling and Decision Fusion for Unknown Event Detection and Classification Using Synchrophasor Data
Yi Hu, Zheyuan Cheng
2025
An Intention-driven Lane Change Framework Considering Heterogeneous Dynamic Cooperation in Mixed-traffic Environment
Xiaoyun Qiu, Haichao Liu, Yue Pan +2 more
2025
Learning to Ball: Composing Policies for Long-Horizon Basketball Moves
Pei Xu, Zhen Wu, Ruocheng Wang +5 more
2025