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 ✕L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
Quan Quan, Hao Li
2026
Sample Complexity of Policy Gradient for Log-Growth Control
Qiuhua Pan, Yukai Shen, Liwei Zhang +2 more
2026
Enabling Extensible Embodied Capabilities with Tools
Xueyang Zhou, Zijia Wang, Qianjiang Li +7 more
2026
Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty
Chayan Banerjee, Ethan Goan
2026
Efficient stochastic model-predictive control based on the meta-state-space representation
Bendegúz Györök, Roland Tóth, Maarten Schoukens +1 more
2026
Provably Safe Motion Planning Under Unknown Disturbances
Ibon Gracia, Qi Heng Ho, Luca Laurenti +1 more
2026
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
Haoyu Li, Xiangru Zhong, Hao Cheng +2 more
2026
Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
Jaewoo Lee, Hyeongyu Kang, Dohyun Kim +9 more
2026
Learning Safe-by-Design Neural Network Controllers
Yang Zhao, Jungeun Lee, Jeong hwan Jeon +1 more
2026
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Haoxiang You, Yilang Liu, Davis Zong +5 more
2026
Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning
Zexin Li, Nikil Dutt, Cong Liu
2026
Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning
Dhruv S. Kushwaha, Zoleikha A. Biron
2026
When Does LeJEPA Learn a World Model?
David Klindt, Yann LeCun, Randall Balestriero
2026
Closing the Loop in Teleoperation: Episode-Level Data Quality Assessment and Feedback for High-Quality Demonstration Collection
Gokul Narayanan, Yash Shahapurkar, Melih Erdogan +2 more
2026
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering
Maxim Mednikov, Oren Gal
2026
Active Query Synthesis for Preference Learning
Namrata Nadagouda, Nauman Ahad, Maegan Tucker +1 more
2026
Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models
Jianwei Tai
2026
When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills
Yunfei Wang, Xiaohao Xu, Yang Li +1 more
2026
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5 more
2026
HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight
Quang Ngoc Pham, Jonas Eschmann, Yang Zhou +3 more
2026
How to Mitigate the Distribution Shift Problem in Robotics Control: A Robust and Adaptive Approach Based on Offline to Online Imitation Learning
Hyung-Suk Yoon, Seung-Woo Seo
2026
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
Keyi Shen, Glen Chou
2026
Nonlinear-Gain Distributed Zeroth-Order Optimization for Networked Black-Box Control
Shengjun Zhang, Tingyi Liu, Heng Zhang +1 more
2026
Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning
Tianwei Wang, Bryan Chen, Qian Zuo +3 more
2026