Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,884)
Clear ✕Synthetic data augmentation for robotic mobility aids to support blind and low vision people
Hochul Hwang, Krisha Adhikari, Satya Shodhaka +1 more
2024
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek +1 more
2024
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent
Pavel Osinenko, Grigory Yaremenko, Roman Zashchitin +3 more
2024
On the Effect of Robot Errors on Human Teaching Dynamics
Jindan Huang, Isaac Sheidlower, Reuben M. Aronson +1 more
2024
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das +2 more
2024
Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergence
Tadahiro Taniguchi, Masafumi Oizumi, Noburo Saji +2 more
2024
Quasimetric Value Functions with Dense Rewards
Khadichabonu Valieva, Bikramjit Banerjee
2024
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
Haoyi Niu, Qimao Chen, Tenglong Liu +5 more
2024
Adaptive Language-Guided Abstraction from Contrastive Explanations
Andi Peng, Belinda Z. Li, Ilia Sucholutsky +4 more
2024
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
Guiliang Liu, Sheng Xu, Shicheng Liu +3 more
2024
Unsupervised Point Cloud Registration with Self-Distillation
Christian Löwens, Thorben Funke, André Wagner +1 more
2024
Bifurcation Identification for Ultrasound-driven Robotic Cannulation
Cecilia G. Morales, Dhruv Srikanth, Jack H. Good +2 more
2024
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy, Sunshine Jiang, William Yue +3 more
2024
Interactive incremental learning of generalizable skills with local trajectory modulation
Markus Knauer, Alin Albu-Schäffer, Freek Stulp +1 more
2024
Machine Learning Based Optimal Design of Fibrillar Adhesives
Mohammad Shojaeifard, Matteo Ferraresso, Alessandro Lucantonio +1 more
2024
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
Heng Xiong, Changrong Guo, Jian Peng +5 more
2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks
E. V. Aretos, D. G. Sotiropoulos
2024
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
Yongxin Deng, Xihe Qiu, Jue Chen +1 more
2024
Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields
Felix Herrmann, Sebastian Zach, Jacopo Banfi +3 more
2024
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection
Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Alvarez +1 more
2024
Game On: Towards Language Models as RL Experimenters
Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki +2 more
2024
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
Jifeng Hu, Li Shen, Sili Huang +5 more
2024
YoloTag: Vision-based Robust UAV Navigation with Fiducial Markers
Sourav Raxit, Simant Bahadur Singh, Abdullah Al Redwan Newaz
2024