Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
Latest papers(538,254)
Dynamic Risk Generation for Autonomous Driving: Naturalistic Reconstruction of Vehicle-E-Scooter Interactions
Abin Mathew, Zhitong He, Lingxi Li +1 more
2026
From Impact to Insight: Dynamics-Aware Proprioceptive Terrain Sensing on Granular Media
Yifeng Zhang, Yue Wu, Jake Futterman +5 more
2026
Review and Evaluation of Point-Cloud based Leaf Surface Reconstruction Methods for Agricultural Applications
Arif Ahmed, Parikshit Maini
2026
\texttt{DR-DAQP}: An Hybrid Operator Splitting and Active-Set Solver for Affine Variational Inequalities
Daniel Arnström, Emilio Benenati, Giuseppe Belgioioso
2026
Tune to Learn: How Controller Gains Shape Robot Policy Learning
Antonia Bronars, Younghyo Park, Pulkit Agrawal
2026
Safety-Aligned 3D Object Detection: Single-Vehicle, Cooperative, and End-to-End Perspectives
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1 more
2026
Nonlinear System Identification of Variable-Pitch Propellers Using a Wiener Model
David Grasev, Miguel A. Mendez
2026
Cooperative Detour Planning for Dual-Task Drone Fleets
Pengbo Zhu, Meng Xu, Andreas A. Malikopoulos +1 more
2026
Truthful Production Uncertainty in Electricity Markets: A Two-Stage Mechanism
Shobhit Singhal, Lesia Mitridati, Licio Romao
2026
Adaptive Learned State Estimation based on KalmanNet
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag +2 more
2026
Stop Wandering: Efficient Vision-Language Navigation via Metacognitive Reasoning
Xueying Li, Feng Lyu, Hao Wu +3 more
2026
F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation
Haoyu Wei, Xiuwei Xu, Ziyang Cheng +5 more
2026
Scaled Relative Graphs in Normed Spaces
Alberto Padoan
2026
Deep Neural Network Based Roadwork Detection for Autonomous Driving
Sebastian Wullrich, Nicolai Steinke, Daniel Goehring
2026
Selective State-Space Models for Koopman-based Data-driven Distribution System State Estimation
Bader Alabdulrazzaq, Bri-Mathias Hodge
2026
Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
Klemens Iten, Bruce Lee, Chenhao Li +3 more
2026
A virtual-variable-length method for robust inverse kinematics of multi-segment continuum robots
Weiting Feng, Federico Renda, Yunjie Yang +1 more
2026
Data-Driven Koopman Predictive Control for Frequency Regulation of Power Systems using Black-Box IBRs
Sohrab Rezaei, Xiaomo Wang, Sijia Geng
2026
UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models
Qiyao Zhang, Shuhua Zheng, Jianli Sun +6 more
2026
Sensitivity analysis for stopping criteria with application to organ transplantations
Xingyu Ren, Michael C. Fu, Steven I. Marcus
2026
Stochastic Control for Organ Donations: A Review
Xingyu Ren, Michael C. Fu, Steven I. Marcus
2026
A unified framework for synchronization optimization in directed multiplex networks
Anath Bandhu Das, Pinaki Pal
2026
Computing the Exact Pareto Front in Average-Cost Multi-Objective Markov Decision Processes
Jiping Luo, Nikolaos Pappas
2026
UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
Yongkang Li, Lijun Zhou, Sixu Yan +11 more
2026