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 ✕Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
Fanqi Yu, Matteo Tiezzi, Tommaso Apicella +2 more
2026
Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks
Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
2026
ASTER: Attitude-aware Suspended-payload Quadrotor Traversal via Efficient Reinforcement Learning
Dongcheng Cao, Jin Zhou, Shuo Li
2026
MAVEN: A Meta-Reinforcement Learning Framework for Varying-Dynamics Expertise in Agile Quadrotor Maneuvers
Jin Zhou, Dongcheng Cao, Xian Wang +1 more
2026
ResWM: Residual-Action World Model for Visual RL
Jseen Zhang, Gabriel Adineera, Jinzhou Tan +1 more
2026
Safety-critical Control Under Partial Observability: Reach-Avoid POMDP meets Belief Space Control
Matti Vahs, Joris Verhagen, Jana Tumova
2026
Shape Control of a Planar Hyper-Redundant Robot via Hybrid Kinematics-Informed and Learning-based Approach
Yuli Song, Wenbo Li, Wenci Xin +3 more
2026
ScanDP: Generalizable 3D Scanning with Diffusion Policy
Itsuki Hirako, Ryo Hakoda, Yubin Liu +3 more
2026
Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces
Ji Gao, Caleb Ju, Guanghui Lan +1 more
2026
Octopus-inspired Distributed Control for Soft Robotic Arms: A Graph Neural Network-Based Attention Policy with Environmental Interaction
Linxin Hou, Qirui Wu, Zhihang Qin +2 more
2026
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
Pooria Roy, Nourhan Jadallah. Tomer Lapid, Shahzaib Ahmad +2 more
2026
On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer
Ruihan Xu, Jiajin Li, Yiping Lu
2026
Learning-Augmented Primal-Dual Control Design for Secondary Frequency Regulation
Yixuan Yu, Rajni K. Bansal, Yan Jiang +1 more
2026
A Variational Latent Equilibrium for Learning in Neuronal Circuits
Simon Brandt, Paul Haider, Walter Senn +2 more
2026
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
Swaminathan S K, Aritra Hazra
2026
Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
Wuping Xin
2026
Beyond Amplitude: Channel State Information Phase-Aware Deep Fusion for Robotic Activity Recognition
Rojin Zandi, Hojjat Salehinejad, Milad Siami
2026
The FABRIC Strategy for Verifying Neural Feedback Systems
Samuel I. Akinwande, Sydney M. Katz, Mykel J. Kochenderfer +1 more
2026
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
Hanzhi Yu, Hasan Farooq, Julien Forgeat +4 more
2026
APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action Model
Yuanjie Lu, Beichen Wang, Zhengqi Wu +4 more
2026
Neural Network Tuning of FSMPC for Drives
Juana M. Martínez-Heredia, José L. Mora
2026
Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid Recovery
Nehar Poddar, Stephen McCrory, Luigi Penco +3 more
2026
Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
Shreya Das, Kundan Kumar, Muhammad Iqbal +4 more
2026
A Recipe for Stable Offline Multi-agent Reinforcement Learning
Dongsu Lee, Daehee Lee, Amy Zhang
2026