Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition
Andreea Glavan, Estefania Talavera
2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
Kai-Chieh Hsu, Vicenç Rubies-Royo, Claire J. Tomlin +1 more
2021
Off Environment Evaluation Using Convex Risk Minimization
Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell
2021
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Yufei Kuang, Miao Lu, Jie Wang +3 more
2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma, Kelvin Xu, Nikhil Sardana +4 more
2021
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
Lukáš Gajdošech, Viktor Kocur, Martin Stuchlík +2 more
2021
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation
Enrico Marchesini, Davide Corsi, Alessandro Farinelli
2021
Road-aware Monocular Structure from Motion and Homography Estimation
Wei Sui, Teng Chen, Jiaxin Zhang +2 more
2021
Curriculum learning for data-driven modeling of dynamical systems
Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen +2 more
2021
M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search
Junjun Wu, Huiyu Kuang, Qinghua Lu +4 more
2021
Learning Connectivity-Maximizing Network Configurations
Daniel Mox, Vijay Kumar, Alejandro Ribeiro
2021
A Benchmark for Low-Switching-Cost Reinforcement Learning
Shusheng Xu, Yancheng Liang, Yunfei Li +2 more
2021
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
Zelin Zhang, Anthony Yezzi, Guillermo Gallego
2021
Sparse Depth Completion with Semantic Mesh Deformation Optimization
Bing Zhou, Matias Aiskovich, Sinem Guven
2021
Specializing Versatile Skill Libraries using Local Mixture of Experts
Onur Celik, Dongzhuoran Zhou, Ge Li +2 more
2021
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Simone Cerrato, Vittorio Mazzia, Francesco Salvetti +4 more
2021
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
DeepMind Interactive Agents Team, Josh Abramson, Arun Ahuja +17 more
2021
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
Siqi Zhou, Karime Pereida, Wenda Zhao +1 more
2021
Pragmatic Implementation of Reinforcement Algorithms For Path Finding On Raspberry Pi
Serena Raju, Sherin Shibu, Riya Mol Raji +1 more
2021
Distilled Domain Randomization
Julien Brosseit, Benedikt Hahner, Fabio Muratore +2 more
2021
MDPFuzz: Testing Models Solving Markov Decision Processes
Qi Pang, Yuanyuan Yuan, Shuai Wang
2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning
Aaqib Parvez Mohammed, Matias Valdenegro-Toro
2021
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su +2 more
2021
Object-aware Monocular Depth Prediction with Instance Convolutions
Enis Simsar, Evin Pınar Örnek, Fabian Manhardt +3 more
2021