Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕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
SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments
Heye Huang, Yibin Yang, Wang Chen +3 more
2025
Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios
Yuting Zeng, Zhiwen Zheng, You Zhou +5 more
2025
The Distribution Shift Problem in Transportation Networks using Reinforcement Learning and AI
Federico Taschin, Abderrahmane Lazaraq, Ozan K. Tonguz +1 more
2025
Self-Improving Embodied Foundation Models
Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson +2 more
2025
Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Tobias Jülg, Pierre Krack, Seongjin Bien +7 more
2025
Diffusion-Based Scenario Tree Generation for Multivariate Time Series Prediction and Multistage Stochastic Optimization
Stelios Zarifis, Ioannis Kordonis, Petros Maragos
2025
Rethinking Reference Trajectories in Agile Drone Racing: A Unified Reference-Free Model-Based Controller via MPPI
Fangguo Zhao, Xin Guan, Shuo Li
2025
SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Emily Sumner, Deepak E. Gopinath, Laporsha Dees +9 more
2025