Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Fault-Tolerant Deep Learning: A Hierarchical Perspective
Cheng Liu, Zhen Gao, Siting Liu +3 more
2022
ReIL: A Framework for Reinforced Intervention-based Imitation Learning
Rom Parnichkun, Matthew N. Dailey, Atsushi Yamashita
2022
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation
Haresh Karnan, Anirudh Nair, Xuesu Xiao +6 more
2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido C. H. E. de Croon
2022
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer +5 more
2022
Efficient Exploration via First-Person Behavior Cloning Assisted Rapidly-Exploring Random Trees
Max Zuo, Logan Schick, Matthew Gombolay +1 more
2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
Yufeng Yuan, A. Rupam Mahmood
2022
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
Omar Alfarisi, Zeyar Aung, Qingfeng Huang +6 more
2022
WayFAST: Navigation with Predictive Traversability in the Field
Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu +5 more
2022
Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer
T. Takada, W. Shimaya, Y. Ohmura +1 more
2022
Online Continual Learning for Embedded Devices
Tyler L. Hayes, Christopher Kanan
2022
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space
Lea Steffen, Tobias Weyer, Katharina Glueck +3 more
2022
Investigating Compounding Prediction Errors in Learned Dynamics Models
Nathan Lambert, Kristofer Pister, Roberto Calandra
2022
Visualizing Global Explanations of Point Cloud DNNs
Hanxiao Tan
2022
Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation
Benedikt T. Imbusch, Max Schwarz, Sven Behnke
2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Binxiao Huang, Chaofan Tao, Rui Lin +1 more
2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour, Daniel Freeman, Byron David +3 more
2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose, Masashi Okada, Ryo Okumura +1 more
2022
Physical Neural Cellular Automata for 2D Shape Classification
Kathryn Walker, Rasmus Berg Palm, Rodrigo Moreno Garcia +3 more
2022
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs +6 more
2022
Learning-based Localizability Estimation for Robust LiDAR Localization
Julian Nubert, Etienne Walther, Shehryar Khattak +1 more
2022
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input
Guangyi Liu, Arash Amini, Martin Takac +1 more
2022
Adaptive Trajectory Prediction via Transferable GNN
Yi Xu, Lichen Wang, Yizhou Wang +1 more
2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel, Puze Liu, Davide Tateo +1 more
2022