Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(27,419)
Clear ✕Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations
Xinglong Zhang, Cong Li, Hangjie Mo +13 more
2026
MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning
Manan Tayal
2026
Q-VGM: Q-Guided Value-Gradient Matching for Flow-Matching VLA Policies
Ziqian Wang, Jiayu Sun, Xingjian Mao +2 more
2026
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