Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,691)
Clear ✕Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections
Supriya Sarker
2023
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
2023
Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks
Jun Wang, Haojun Chen, Zihe Sun +1 more
2023
Multimodal Indoor Localization Using Crowdsourced Radio Maps
Zhaoguang Yi, Xiangyu Wen, Qiyue Xia +4 more
2023
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning
Hang Yu, Reuben M. Aronson, Katherine H. Allen +1 more
2023
Visual Environment Assessment for Safe Autonomous Quadrotor Landing
Mattia Secchiero, Nishanth Bobbili, Yang Zhou +1 more
2023
Match and Locate: low-frequency monocular odometry based on deep feature matching
Stepan Konev, Yuriy Biktairov
2023
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics
Rui Fukushima, Jun Tani
2023
SceneScore: Learning a Cost Function for Object Arrangement
Ivan Kapelyukh, Edward Johns
2023
Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation
Jiaming Wang, Harold Soh
2023
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control
Pei Zhang, Zhaobo Hua, Jinliang Ding
2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija +4 more
2023
Interactive Semantic Map Representation for Skill-based Visual Object Navigation
Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev +2 more
2023
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Chan Kim, Jaekyung Cho, Christophe Bobda +2 more
2023
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
Kun Lei, Zhengmao He, Chenhao Lu +3 more
2023
Joint Composite Latent Space Bayesian Optimization
Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat +1 more
2023
Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
2023
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart +14 more
2023
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Yufei Wang, Zhou Xian, Feng Chen +6 more
2023
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
Ruohan Zhang, Sharon Lee, Minjune Hwang +11 more
2023
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
Han Xue, Yutong Li, Wenqiang Xu +3 more
2023
Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial
Sam Dillavou, Benjamin D Beyer, Menachem Stern +3 more
2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
Max Balsells, Marcel Torne, Zihan Wang +3 more
2023
Remember what you did so you know what to do next
Manuel R. Ciosici, Alex Hedges, Yash Kankanampati +3 more
2023