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 ✕Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
Siemen Herremans, Ali Anwar, Siegfried Mercelis
2024
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology
Haowei Yang, Liyang Wang, Jingyu Zhang +2 more
2024
The Penalized Inverse Probability Measure for Conformal Classification
Paul Melki, Lionel Bombrun, Boubacar Diallo +2 more
2024
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek +1 more
2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets
Harshit Sikchi, Caleb Chuck, Amy Zhang +1 more
2024
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
Jonaid Shianifar, Michael Schukat, Karl Mason
2024
MaIL: Improving Imitation Learning with Mamba
Xiaogang Jia, Qian Wang, Atalay Donat +7 more
2024
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
Zhenglong Luo, Zhiyong Chen, James Welsh
2024
Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
Chenliang Li, Siliang Zeng, Zeyi Liao +4 more
2024
Verification-Guided Shielding for Deep Reinforcement Learning
Davide Corsi, Guy Amir, Andoni Rodriguez +3 more
2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli +3 more
2024
Optimizing Automatic Differentiation with Deep Reinforcement Learning
Jamie Lohoff, Emre Neftci
2024
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan Paleja, Michael Munje, Kimberlee Chang +2 more
2024
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
Arvi Jonnarth, Ola Johansson, Jie Zhao +1 more
2024
Phase-Amplitude Reduction-Based Imitation Learning
Satoshi Yamamori, Jun Morimoto
2024
BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters
Sandro Costa Magalhães, António Paulo Moreira, Filipe Neves dos Santos +1 more
2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
Ilgee Hong, Zichong Li, Alexander Bukharin +4 more
2024
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang +5 more
2024
How to Explore with Belief: State Entropy Maximization in POMDPs
Riccardo Zamboni, Duilio Cirino, Marcello Restelli +1 more
2024
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning
Ricardo B. Grando, Raul Steinmetz, Victor A. Kich +7 more
2024
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci
2024
S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
Yuhan Song, Nak Young Chong
2024
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
Vedant Khandelwal, Amit Sheth, Forest Agostinelli
2024
An Organic Weed Control Prototype using Directed Energy and Deep Learning
Deng Cao, Hongbo Zhang, Rajveer Dhillon
2024