Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,798)
Clear ✕Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing
Hyung-Jin Yoon, Hunmin Kim
2026
SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions
Elham Daneshmand, Majid Khadiv, Glen Berseth +1 more
2026
Learning-enabled Parameter Synthesis for Nonlinear Systems from Signal Temporal Logic
Alex Beaudin, Hanna Krasowski, Eric Palanques-Tost +2 more
2026
FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space
Michael Murray, Daphne Chen, Simran Bagaria +7 more
2026
AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning
Iaroslav Kolomiets, Miguel Altamirano Cabrera, Artem Lykov +6 more
2026
Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference
Chuning Zhu, Eva Xu, Jose Barreiros +3 more
2026
Native Video-Action Pretraining for Generalizable Robot Control
Qihang Zhang, Lin Li, Luyao Zhang +17 more
2026
Write-Protected Discrete Bottlenecks for Language-Grounded World Models: A Structural Limitation and Sufficient Fix
Jiayi Fang
2026
Deep Reinforcement Learning-Empowered Wireless Sensor Networking for 6G Closed-Loop Controls
Chengleyang Lei, Wei Feng, Yunfei Chen +3 more
2026
Data-Driven Critic-Free Policy Iteration for Continuous-Time Linear Quadratic Regulation
Jiacheng Wu, Yang Zhu, Hongye Su
2026
Programming-by-Example for Batch-Editing Collision Meshes in 3D Software
Gengyang Xu, Dongwei Xiao, Hengcheng Zhu +4 more
2026
LEEVLA: Seeing What Matters in Latent Environment Evolution for Vision-Language-Action
Qi Lyu, Baicheng Liu, Xudong Wang +3 more
2026
Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio
Utkarsh A. Mishra, Yongxin Chen, Danfei Xu +3 more
2026
Post-Training in End-to-End Autonomous Driving
Ruining Yang, Muxing Wang, Yixiao Chen +8 more
2026
Spiking neurons as predictive controllers of linear systems.
Agliati P, Urbano A, Lanillos P +3 more
PLoS computational biology · 2026
Reachability-Preserving Bellman Operator for the Discounted Reach-Cost Value Function: Uniting Hamilton-Jacobi Reachability and Reinforcement Learning
Isabelle El-Hajj, Prashant Solanki, Jasper van Beers +2 more
2026
Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning
Alessandro Canevaro, Hang Yu, Julian Schmidt +5 more
2026
A Physics-Informed Neural Network for Small-Signal Stability in Multi-Inverter Power Systems
Hanxi Chen, Xiangyu Meng, Jianhong Wang +1 more
2026
Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models
Sergi Masip, Alicja Dobrzeniecka, Jonathan Swinnen +4 more
2026
Improving greenhouse fruit-production control by integrating reinforcement learning into short-horizon model predictive control
Bart van Laatum, Salim Msaad, Eldert J. van Henten +2 more
2026
Toward Deployable Satellite Anomaly Detection: A Benchmark Study on Large-Scale ESA-ADB Telemetry
Andrea Nguyen, Dafne Rozenberg, Yeying Zhu +1 more
2026
Safe Reinforcement Learning using Ideas from Model Predictive Control
Georg Schäfer, Jakob Rehrl, Stefan Huber +1 more
2026
Learning Spatiotemporal Tubes for Full Class of Signal Temporal Logic Tasks for Control of Unknown Systems under Input Constraints
Ahan Basu, Ratnangshu Das, Soumyodipta Nath +2 more
2026
Maximizing Human Efficiency in Large-Scale Robot Post-Training via VLAC-Cut Guided Pipeline
Shaopeng Zhai, Qi Zhang, Tianyi Zhang +4 more
2026