Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,709)
Clear ✕Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
Junyoung Kim, Junwon Seo, Jihong Min
2024
Federated reinforcement learning for robot motion planning with zero-shot generalization
Zhenyuan Yuan, Siyuan Xu, Minghui Zhu
2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
Antonio Lopez, David Fridovich-Keil
2024
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping
Shubhra Aich, Wenshan Wang, Parv Maheshwari +6 more
2024
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria
2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
Sai Prasanna, Karim Farid, Raghu Rajan +1 more
2024
Quantization Avoids Saddle Points in Distributed Optimization
Yanan Bo, Yongqiang Wang
2024
FBPT: A Fully Binary Point Transformer
Zhixing Hou, Yuzhang Shang, Yan Yan
2024
Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning
Daniel Flögel, Lars Fischer, Thomas Rudolf +2 more
2024
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd +1 more
2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
Rui Liu, Anish Gupta, Erfaun Noorani +1 more
2024
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He, Yao Shu, Zhongxiang Dai +1 more
2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
Fuseinin Mumuni, Alhassan Mumuni
2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
2024
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
Mert Gulsen, Batuhan Cengiz, Yusuf H. Sahin +1 more
2024
Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu, Xinqi Wang, Tyler Han +2 more
2024
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace
Léopold Maytié, Benjamin Devillers, Alexandre Arnold +1 more
2024
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
Suzan Ece Ada, Hanne Say, Emre Ugur +1 more
2024
An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization
Alberto Bemporad
2024
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation
Di Zhang, Moyang Wang, Joseph Mango +2 more
2024
A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
Valentina Scarponi, Michel Duprez, Florent Nageotte +1 more
2024
RT-H: Action Hierarchies Using Language
Suneel Belkhale, Tianli Ding, Ted Xiao +6 more
2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu, Zifan Xu, Runxuan Jiang +2 more
2024
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation
Noriaki Hirose, Dhruv Shah, Kyle Stachowicz +2 more
2024