Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,955)
Clear ✕$μ_0$: 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
A Tutorial on World Models and Physical AI
Il-Seok Oh
2026
Individual Control Barrier Functions-Guided Diffusion Model for Safe Offline Multi-Agent Reinforcement Learning
Qingyun Guo, Junyi Shi, Jianuo Huang +1 more
2026
Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics
Adam Wei, Nicholas Pfaff, Thomas Cohn +4 more
2026
DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems
Zhongyu Xia, Wenhao Chen, Yongtao Wang +1 more
2026
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Zhilin Fu, Sangmin Kim, Sangwon Hwang +4 more
2026
World Model Self-Distillation: Training World Models to Solve General Tasks
Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1 more
2026
KinematicRL: A Sim-to-Real Reinforcement Learning Framework For Social Navigation With Kinodynamic Feasibility
Zhiming Xu, Haodong Yang, Chengju Liu +2 more
2026
Deep Learning-Based Lunar Crater Terrain Relative Navigation
Batu Candan, Simone Servadio
2026
A High-Precision Clock Synchronization System for the CEPC Accelerator
Jun Hu, Xin Zhou, Xiaoshan Jiang +1 more
2026
Distortion-Resilient Robotic Imitation Learning for Autonomous Cable Routing
Hao Wang, Fu-Zhao Ou, Shiqi Wang +2 more
2026
Energy-Conserved Neural Pipelines: Attenuating Error Propagation in Modular Neural Networks via Physical Conservation Constraints
David Young, Swan Yi Htet
2026
Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
Zhiyuan Zhou, Andy Peng, Charles Xu +4 more
2026
LLM-Mediated Demand Response Coordination in Smart Microgrids
J. de Curtò, I. de Zarzà
2026
Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees
Muhammad Zakwan, Leonardo Massai, Efe C. Balta +1 more
2026