Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕Dynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction
Wentao Chen, Jingtang Chen, Mingjian Fu +4 more
2026
Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers
Ziying Wang, Ying Zhang, Lei Wang +1 more
2026
PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning
Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won +1 more
2026
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank +2 more
2026
Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training
Mahya Ramezani, Holger Voos
2026
LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models
Seongmin Kim, Daegyu Lee
2026
Learning to Route Electric Trucks Under Operational Uncertainty
Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang +4 more
2026
3D Generation for Embodied AI and Robotic Simulation: A Survey
Tianwei Ye, Yifan Mao, Minwen Liao +6 more
2026
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava
2026
Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
Junya Ikemoto, Satoshi Maruyama, Kazumune Hashimoto
2026
EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling
Qian Yin, Jiaxing Li, Jiaqi Cheng +17 more
2026
Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance
Carson Kohlbrenner, Niraj Pudasaini, William Xie +3 more
2026
Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
Zeyu Bai
2026
An Automatic Ground Collision Avoidance System with Reinforcement Learning
Seyyid Osman Sevgili, Atahan Cilan, Mahir Demir +2 more
2026
Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
Wei Lu, Jay Wang, Dingli Duan +3 more
2026
Distributional Reinforcement Learning via the Cramér Distance
Vanya Aziz, Ivo Nowak, E. M. T Hendrix
2026
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic +4 more
2026
Learning from Demonstration with Failure Awareness for Safe Robot Navigation
Xianghui Wang, Siwei Cheng, Shanze Wang +3 more
2026
Adaptive Spatial-Temporal Graph Learning-Enabled Short-Term Voltage Stability Assessment against Time-Varying Topological Conditions
Chao Deng, Lipeng Zhu, Chang Liu +5 more
2026
Learning the Weather-Grid Nexus via Weather-to-Voltage (W2V) Predictive Modeling
Sol Lim, Min-Seung Ko, Farnaz Safdarian +1 more
2026
GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories
Jon Goikoetxea, Jesús F. Palacián
2026
ATRS: Adaptive Trajectory Re-splitting via a Shared Neural Policy for Parallel Optimization
Jiajun Yu, Guodong Liu, Li Wang +6 more
2026
Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization
Wenxuan Xie, Yuelin Zhang, Qingpeng Ding +4 more
2026
Magnetic Indoor Localization through CNN Regression and Rotation Invariance
Helge Rosé, Konstantin Klipp, Tom Koubek +2 more
2026