Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
Yaru Niu, Shiyu Jin, Zeqing Zhang +3 more
2023
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Benedict Quartey, Ankit Shah, George Konidaris
2023
A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection
Min Zeng, Haimiao Mo, Zhiming Liang +1 more
2023
Embodied Active Learning of Relational State Abstractions for Bilevel Planning
Amber Li, Tom Silver
2023
O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +3 more
2023
ConBaT: Control Barrier Transformer for Safe Policy Learning
Yue Meng, Sai Vemprala, Rogerio Bonatti +2 more
2023
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