Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
Latest papers(540,301)
LatentTrack: Sequential Weight Generation via Latent Filtering
Omer Haq
2026
DISK: Dynamic Inference SKipping for World Models
Anugunj Naman, Gaibo Zhang, Ayushman Singh +1 more
2026
ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control
Jean Pierre Sleiman, He Li, Alphonsus Adu-Bredu +17 more
2026
Motion Planning with Metric Temporal Logic Using Reachability Analysis and Hybrid Zonotopes
Andrew F. Thompson, Joshua A. Robbins, Jonah J. Glunt +2 more
2026
Dual Quaternion SE(3) Synchronization with Recovery Guarantees
Jianing Zhao, Linglingzhi Zhu, Anthony Man-Cho So
2026
RVDebloater: Mode-based Adaptive Firmware Debloating for Robotic Vehicles
Mohsen Salehi, Karthik Pattabiraman
2026
End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms
MH Farhadi, Ali Rabiee, Sima Ghafoori +3 more
2026
IRL-DAL: Safe and Adaptive Trajectory Planning for Autonomous Driving via Energy-Guided Diffusion Models
Seyed Ahmad Hosseini Miangoleh, Amin Jalal Aghdasian, Farzaneh Abdollahi
2026
MapDream: Task-Driven Map Learning for Vision-Language Navigation
Guoxin Lian, Shuo Wang, Yucheng Wang +7 more
2026
Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
Marko Nonhoff, Mohammad Taher Al Torshan, Matthias A. Müller
2026
Interpolation Techniques for Fast Channel Estimation in Ray Tracing
Ruibin Chen, Jayadev Joy, Yaqi Hu +3 more
2026
Energy Management Strategies for Electric Aircraft Charging Leveraging Active Landside Vehicle-to-Grid
Finn Vehlhaber, Mauro Salazar
2026
FlowCalib: LiDAR-to-Vehicle Miscalibration Detection using Scene Flows
Ilir Tahiraj, Peter Wittal, Markus Lienkamp
2026
CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation
Wu Songwei, Jiang Zhiduo, Sun Wandong +4 more
2026
Robust and Generalized Humanoid Motion Tracking
Yubiao Ma, Han Yu, Jiayin Xie +7 more
2026
Learning-Based Signal Recovery in Nonlinear Systems with Spectrally Separated Interference
Jayadev Joy, Sundeep Rangan
2026
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning
Yuexin Bian, Jie Feng, Tao Wang +3 more
2026
MOSAIC: Modular Scalable Autonomy for Intelligent Coordination of Heterogeneous Robotic Teams
David Oberacker, Julia Richter, Philip Arm +10 more
2026
Learning Geometrically-Grounded 3D Visual Representations for View-Generalizable Robotic Manipulation
Di Zhang, Weicheng Duan, Dasen Gu +5 more
2026
About an Automating Annotation Method for Robot Markers
Wataru Uemura, Takeru Nagashima
2026
Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation
Runhua Zhang, Junyi Hou, Changxu Cheng +3 more
2026
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
Xidong Li, Mingyu Guo, Chenchao Xu +5 more
2026
Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
Lars Ullrich, Michael Buchholz, Klaus Dietmayer +1 more
2026
Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems
Tanay Raghunandan Srinivasa, Vivek Deulkar, Aviruch Bhatia +1 more
2026