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 ✕A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Andrei Velichko, Petr Boriskov, Maksim Belyaev +1 more
2023
Independent Modular Networks
Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi
2023
Identifying visible tissue in intraoperative ultrasound: a method and application
Alistair Weld, Luke Dixon, Giulio Anichini +4 more
2023
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, William Liang, Vaidehi Som +4 more
2023
Progressive Learning for Physics-informed Neural Motion Planning
Ruiqi Ni, Ahmed H. Qureshi
2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Returaj Burnwal, Anirban Santara, Nirav P. Bhatt +2 more
2023
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification
Wenbin He, Jianxu Mao, Yaonan Wang +3 more
2023
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
Haoran He, Peilin Wu, Chenjia Bai +5 more
2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma +5 more
2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde, Jakob Foerster, Derek Nowrouzezahrai +1 more
2023
An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning
Sitan Li, Chien Chern Cheah
2023
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao, Wenda Li, Lingpeng Kong
2023
Robotic LEGO Assembly and Disassembly from Human Demonstration
Ruixuan Liu, Yifan Sun, Changliu Liu
2023
Inverse Preference Learning: Preference-based RL without a Reward Function
Joey Hejna, Dorsa Sadigh
2023
Adaptive Policy Learning to Additional Tasks
Wenjian Hao, Zehui Lu, Zihao Liang +2 more
2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma +3 more
2023
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler, Martin Uray, Stefan Huber
2023
Label-Efficient Learning in Agriculture: A Comprehensive Review
Jiajia Li, Dong Chen, Xinda Qi +4 more
2023
ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images
Xiao Liang, Shan Lin, Fei Liu +2 more
2023
Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping
Daniel Casanueva-Morato, Alvaro Ayuso-Martinez, Juan P. Dominguez-Morales +3 more
2023
End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies
Dionis Totsila, Konstantinos Chatzilygeroudis, Denis Hadjivelichkov +3 more
2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Pia Hanfeld, Marina M. -C. Höhne, Michael Bussmann +1 more
2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola, Paolo Tonella
2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Yecheng Jason Ma, Kausik Sivakumar, Jason Yan +2 more
2023