Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,798)
Clear ✕Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation
Luca Ghisi, Jacopo Essenziale, Carlo D'Eramo +1 more
2026
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation
Yuki Kadokawa, Sandro M. Alcantara Tacora, Taro Abe +4 more
2026
LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization
Binh Nguyen, Trinh Tran, Truong X. Nghiem
2026
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations.
Zhang X, Li C, Mo H +14 more
Nature communications · 2026
IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
Ruihua Han, Shuai Wang, Chengyang Li +8 more
2026
Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control
Ali Kafili Gavgani, Amin Talaeizadeh, Aria Alasty +1 more
2026
X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining
Xirui Kang, Yanpei Shi, Lucy Liang +10 more
2026
Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach
Zhen Qina, Dong-Fan Xie, Heng Ma +2 more
2026
A Barrier-Modulated Architecture for Safe Affine Formation Control in Second-Order Multi-Agent Systems
Ashik Abrar Naeem, Mohammad Ariful Haque
2026
Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning
Xinglong Zhang, Yongqian Xiao, Haotian Cao +3 more
2026
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