Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,809)
Clear ✕Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach
Qiang Le, Yaguang Yang, Isaac E. Weintraub
2026
Physiologically Constrained Musculoskeletal Neural Network for Multi-DoF Joint Kinematics Estimation from Partially Observed sEMG
Wending Heng, Mingming Zhang, Glen Cooper +1 more
2026
Forecast and Model Predictive Control of Distributed Energy Resource Aggregators for Net-Demand Balancing
Obai Bahwal, Oliver Kosut, LalithaSankar
2026
Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility Efficiency
Haoxuan Dong, Dongjun Li, Ziyou Song
2026
MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection
Canyu Lei, Fenglin Zhang, Derek Bivona +5 more
2026
Flow-based Policy Adaptation without Policy Updates
Luzhe Sun, Jingtian Ji, Haoran Chen +2 more
2026
RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation
Qi Lan, Yining Tang, Yu Shen +4 more
2026
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss
Thomas T. Zhang, Alok Shah, Yifei Zhang +3 more
2026
Equivariant Neural Belief Propagation
Zehua Cheng, Wei Dai, Jiahao Sun
2026
VOLT: Vision and Language Trajectory Segmentation for Faster-than-Demonstration Policies
Robert Ramirez Sanchez, Daniel J. Evans, Dylan P. Losey +1 more
2026
MPCoT: Reward-Guided Multi-Path Latent Reasoning for Test-Time Scalable Vision-Language-Action
Boyang Zhang, Lianlei Shan
2026
CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous Driving
Yining Xing, Zehong Ke, Zhiyuan Liu +3 more
2026
From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control
Paulina Quintanilla, Agustin Fuenzalida, Daniel Navia +1 more
2026
PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models
Xiaoyun Qiu, Jingtao He, Yijie Chen +4 more
2026
Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies
Christian Llanes, Spencer W. Jensen, Samuel Coogan
2026
Robots Need More than VLA and World Models
Elis Karcini, Faisal Mehrban, Quang Nguyen +6 more
2026
Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning
Richmond Boamah, Ferdous Pervej
2026
Towards a Data Flywheel for Embodied Intelligence in Logistics
Anlan Yu, Zaishu Chen, Zhiqing Hong +1 more
2026
Amortized Nonlinear Model Predictive Control
Francesco Pillitteri, Alberto Bemporad
2026
PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation
Chong Ma, Taiyi Su, Jian Zhu +4 more
2026
Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes
Keunju Song, Kyungnam Park, Sua Choi +5 more
2026
Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
Ziyang Yao, Haochen Liu, Yuncheng Jiang +10 more
2026
Auditing Demonstration Curation Metrics: Action-Only Scorers Fail on the Structural Defects That Degrade Imitation Policies
Aarav Bedi
2026
Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1 more
2026