Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter Interception
Chenxu Ke, Congling Tian, Kaichen Xu +2 more
2025
AI-Enabled Smart Hygiene System for Real-Time Glucose Detection
Khan Masood Parvez, Sk Md Abidar Rahaman, Ali Shiri Sichani +1 more
2025
Learning Obstacle Avoidance using Double DQN for Quadcopter Navigation
Nishant Doshi, Amey Sutavani, Sanket Gujar
2025
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As, Chengrui Qu, Benjamin Unger +6 more
2025
Interaction-aware Lane-Changing Early Warning System in Congested Traffic
Yue Zhang, Xinzhi Zhong, Soyoung Ahn +2 more
2025
End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
Ana Luiza Mineiro, Francisco Affonso, Marcelo Becker
2025
AI Agent Access (A\^3) Network: An Embodied, Communication-Aware Multi-Agent Framework for 6G Coverage
Han Zeng, Haibo Wang, Luhao Fan +3 more
2025
Spatial Envelope MPC: High Performance Driving without a Reference
Siyuan Yu, Congkai Shen, Yufei Xi +5 more
2025
ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
Zichao Hu, Chen Tang, Michael J. Munje +6 more
2025
Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
Paul Hamelbeck, Johannes Schiffer
2025
SocialTraj: Two-Stage Socially-Aware Trajectory Prediction for Autonomous Driving via Conditional Diffusion Model
Xiao Zhou, Zengqi Peng, Jun Ma
2025
Methods for Multi-objective Optimization PID Controller for quadrotor UAVs
Andrea Vaiuso, Gabriele Immordino, Ludovica Onofri +2 more
2025
Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
Masako Kishida
2025
Learning and Optimization with 3D Orientations
Alexandros Ntagkas, Constantinos Tsakonas, Chairi Kiourt +1 more
2025
Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding
Salim Oyinlola, Peter Olabisi Oluseyi
2025
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
Zengqi Peng, Yusen Xie, Yubin Wang +3 more
2025
End2Race: Efficient End-to-End Imitation Learning for Real-Time F1Tenth Racing
Zhijie Qiao, Haowei Li, Zhong Cao +1 more
2025
Closing the Loop Inside Neural Networks: Causality-Guided Layer Adaptation for Fault Recovery Control
Mahdi Taheri, Soon-Jo Chung, Fred Y. Hadaegh
2025
Safe and Near-Optimal Control with Online Dynamics Learning
Manish Prajapat, Johannes Köhler, Melanie N. Zeilinger +1 more
2025
Learning from Observation: A Survey of Recent Advances
Returaj Burnwal, Hriday Mehta, Nirav Pravinbhai Bhatt +1 more
2025
Learning Safety for Obstacle Avoidance via Control Barrier Functions
Shuo Liu, Zhe Huang, Calin A. Belta
2025
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
Yujie Zhu, Charles A. Hepburn, Matthew Thorpe +1 more
2025
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Ibai Ramirez, Jokin Alcibar, Joel Pino +3 more
2025
Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
Max Studt, Georg Schildbach
2025