Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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Latest papers(538,254)
Signed DeGroot-Friedkin Dynamics with Interdependent Topics
Yangyang Luan, Muhammad Ahsan Razaq, Xiaoqun Wu +1 more
2026
A hierarchical spatial-aware algorithm with efficient reinforcement learning for human-robot task planning and allocation in production
Jintao Xue, Xiao Li, Nianmin Zhang
2026
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production
Jintao Xue, Xiao Li, Nianmin Zhang
2026
FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
Baoyun Wang, Zhuoren Li, Ran Yu +6 more
2026
Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
Georgios Pantazis, Michelle S. Chong
2026
Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
Melvin Laux, Yi-Ling Liu, Rina Alo +4 more
2026
A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning
Qiang Le, Yaguang Yang, Isaac E. Weintraub
2026
Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
Ziyuan Xia, Jingyi Xu, Chong Cui +9 more
2026
Optimal Battery Bidding under Decision-Dependent State-of-Charge Uncertainties
Jan Brändle, Gabriela Hug
2026
Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units
Jannis Gabler, Clément Lhoste, Max Quast +5 more
2026
Situation-Aware Feedback-Predictive Control Framework for Lane-Less Dense Traffic
Parthib Khound
2026
Scalable Trajectory Generation for Whole-Body Mobile Manipulation
Yida Niu, Xinhai Chang, Xin Liu +2 more
2026
Distributionally Robust Stochastic MPC under Disturbance-Affine Feedback Policies
Xu Chen, Lorenz Dörschel
2026
Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks
Laura Boca de Giuli, Alessio La Bella, Manish Prajapat +4 more
2026
Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers
Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki
2026
Data-driven Learning of LPV Surrogate Models of Fuel Sloshing
E. Javier Olucha, Valentin Preda, Amritam Das +1 more
2026
The Elusive Nature of Roughness: Linking Hydraulics and Graph Theory for Water Distribution Networks Model Calibration
Karol Dykiert, Mateusz Stolarski, Michał Czuba +2 more
2026
DeCoNav: Dialog enhanced Long-Horizon Collaborative Vision-Language Navigation
Sunyao Zhou, Yunzi Wu, Tianhang Wang +5 more
2026
Social Learning Strategies for Evolved Virtual Soft Robots
K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen +2 more
2026
From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution
Lidor Erez, Shahaf S. Shperberg, Ayal Taitler
2026
Designing for Error Recovery in Human-Robot Interaction
Christopher D. Wallbridge, Erwin Jose Lopez Pulgarin
2026
HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models
Zixing Chen, Yifeng Gao, Li Wang +8 more
2026
Bilinear controllability for the linear KdV-Schr{ö}dinger equation
Rémi Buffe, Alessandro Duca, Hugo Parada
2026
D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs
Benxu Tang, Yixi Cai, Fanze Kong +2 more
2026