Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi +1 more
2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
Nick Bührer, Zhejun Zhang, Alexander Liniger +2 more
2023
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
2023
Evolutionary Reinforcement Learning: A Survey
Hui Bai, Ran Cheng, Yaochu Jin
2023
Hierarchical Training of Deep Neural Networks Using Early Exiting
Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler +2 more
2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Simon Guist, Jan Schneider, Alexander Dittrich +3 more
2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
Elia Cereda, Luca Crupi, Matteo Risso +5 more
2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding +4 more
2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar, Jyothish Pari, Anant Rai +1 more
2023
iART: Learning from Demonstration for Assisted Robotic Therapy Using LSTM
Shrey Pareek, Thenkurussi Kesavadas
2023
Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement
Petr Bobák, Ladislav Čmolík, Martin Čadík
2023
Bayesian Deep Learning for Affordance Segmentation in images
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Jose J. Guerrero
2023
AR3n: A Reinforcement Learning-based Assist-As-Needed Controller for Robotic Rehabilitation
Shrey Pareek, Harris Nisar, Thenkurussi Kesavadas
2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
Haotian Xu, Shengjie Wang, Zhaolei Wang +4 more
2023
Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer
Jingpei Lu, Florian Richter, Michael C. Yip
2023
Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies
Qin Yang
2023
EvoTorch: Scalable Evolutionary Computation in Python
Nihat Engin Toklu, Timothy Atkinson, Vojtěch Micka +2 more
2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Renos Zabounidis, Joseph Campbell, Simon Stepputtis +2 more
2023
Universal Morphology Control via Contextual Modulation
Zheng Xiong, Jacob Beck, Shimon Whiteson
2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2023
Safe Deep Reinforcement Learning by Verifying Task-Level Properties
Enrico Marchesini, Luca Marzari, Alessandro Farinelli +1 more
2023
Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots
Letícia Berto, Paula Costa, Alexandre Simões +2 more
2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen, Yunpeng Li
2023
Vulnerability analysis of captcha using Deep learning
Jaskaran Singh Walia, Aryan Odugoudar
2023