Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕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
Unsupervised Welding Defect Detection Using Audio And Video
Georg Stemmer, Jose A. Lopez, Juan A. Del Hoyo Ontiveros +3 more
2024
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained Environments
Qiang Zheng, Chao Zhang, Jian Sun
2024
UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
Qingxuan Lv, Junyu Dong, Yuezun Li +4 more
2024
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie +3 more
2024