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 ✕A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems
Shadi Heenatigala, Hasanika Samarasinghe
2026
Sensitivity Shaping for Latent Modeling
Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2 more
2026
TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation
Zihao Li, Ranpeng Qiu, Yincong Chen +2 more
2026
Provably Safe, Yet Scalable Reinforcement Learning
Kai S. Yun, Zeyang Li, Navid Azizan
2026
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM
Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +1 more
2026
Causal Object-Centric Models for Planning with Monte Carlo Tree Search
Rodion Vakhitov, Leonid Ugadiarov, Alexey Skrynnik +1 more
2026
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
He Zhang, Lingzhu Xiang, Haitao Lin +17 more
2026
Intelligent Domain Adaptation for Power System Transient Stability Assessment Under Varying Operating Scenarios
Yuan Yang, Lipeng Zhu, Chao Deng +3 more
2026
FloVerse: Floor Plan-Guided Multi-Modal Navigation
Weiqi Huang, Shuangyi Dong, Jiaxin Li +3 more
2026
An Attention-based Model for Robust Forecasting with Missing Modality
Zhitian Zhang, Wenjie Zi, Yunduz Rakhmangulova +3 more
2026
SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting
Jafar Bakhshaliyev, Niels Landwehr
2026
TetraRL: A Self-Adaptive Runtime for On-Device Deep Reinforcement Learning Systems
Zexin Li, Soheil Shirvani, Cong Liu
2026
Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances
Hongyu Zhou, Mingtian Tan, Vasileios Tzoumas
2026
Scalable Deep Unfolding of Conic Optimizers
Alex Oshin, Rahul Vodeb Ghosh, Evangelos A. Theodorou
2026
$μ_0$: A Scalable 3D Interaction-Trace World Model
Seungjae Lee, Yoonkyo Jung, Jusuk Lee +6 more
2026
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1 more
2026
NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation
Daichi Azuma, Taiki Miyanishi, Koya Sakamoto +6 more
2026
Scalable Dynamic Tactile Sensing Enabled by Passive and Flexible Acoustic Waveguides
Guimin Long, Changhong Linghu, Chuanping Liu +2 more
2026
MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer
Amirhossein Ayanmanesh Motlaghmofrad, Carlo Cena, Mauro Martini +1 more
2026
Scale Buys Interpolation, Structure Buys a Horizon: Certified Predictability for Equivariant World Models
Hongbo Wang
2026
Trajectory-Level Redirection Attacks on Vision-Language-Action Models
Gokul Puthumanaillam, Vardhan Dongre, Pranay Thangeda +3 more
2026
EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment
Shihefeng Wang, Kangchen Lv, Mingrui Yu +1 more
2026
Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill Transfer
Aryan Naveen, Haitong Ma, Haldun Balim +1 more
2026
Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids
Xiao Ren, Yuhui Yang, Zongbiao Weng +2 more
2026