Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,917)
Clear ✕Machine Learning-based Feedback Linearization Control of Quadrotor Subject to Unmodeled Dynamics
Amos Alwala, Gabriel da Silva Lima, Wallace Moreira Bessa
2026
ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
Andrew Zou Li, Gokul Swamy, Yonatan Bisk +1 more
2026
What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning
Hyeonchang Jeon, Kyungbeom Kim, Eugene Vinitsky +1 more
2026
Event-Triggered Gain Scheduling of 2 x 2 Linear Hyperbolic PDEs via Neural Operators (Full Version)
Yihuai Zhang, Jean Auriol, Nicolas Espitia +1 more
2026
Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation
Ethan Hirschowitz, Fabio Ramos
2026
Convergence evaluation of optimization-based stochastic iterative learning control.
Lv W, Meng D, Zhang J
ISA transactions · 2026
Motion Planning in Compressed Representation Spaces
Lukas Lao Beyer, Sertac Karaman
2026
ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints
Long Kiu Chung, Shreyas Kousik
2026
TinyML for On-Device and Edge Analytics in Wireless Networks: A Survey of Deployments, Opportunities, and Concept-Drift Mitigation
Prasoon Raghuwanshi, Vimal Bhatia, Sridhar Iyer +2 more
2026
Joint Chance Constrained Safe-Optimal Control
Niklas Schmid, Jared Miller, Tristan Zeller +3 more
2026
VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
Yen-Jen Wang, Jiaman Li, Sirui Chen +9 more
2026
Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving
Cheng Gong, Haoyang Wang, Chao Lu +2 more
2026
Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data
Hyunwoo Park, Sang-Hyun Lee
2026
Automating the Design of Embodied AgentArchitectures
Jian Zhou, Sihao Lin, Jin Li +3 more
2026
SIR: Structured Image Representations for Explainable Robot Learning
Paul Mattes, Jan Schwab, Jens Bosch +5 more
2026
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara +4 more
2026
Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models
Siyao Chen, Jiakang Yuan, Jiaxin Wang +1 more
2026
AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes
Anjali Rao, Nikhil Kamalkumar Advani
2026
RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning
Adithya Mohan, Daniel Kriegl, Torsten Schön
2026
STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning
Zhihao Liu, Qiuyi Gu, Yitao Wang +16 more
2026
Data-Driven Modeling and Control for Tethered Space Systems with Koopman-Informed Graphs
Ao Jin, Yifeng Ma, Panfeng Huang +1 more
2026
Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering
Devson Butani, Ryan Kaddis, Chan-Jin Chung
2026
Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
Ryohei Oura, Georgios Fainekos, Hideki Okamoto +1 more
2026
CORE: Common Outcome Regularities from Action-Free Visual Demonstrations for Robot Manipulation
Juyi Sheng, Jincheng Li, Mingxin Tan +1 more
2026