Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies
Sean Gillen, Asutay Ozmen, Katie Byl
2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Boyan Li, Hongyao Tang, Yan Zheng +5 more
2021
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin +1 more
2021
Open-World Distributed Robot Self-Localization with Transferable Visual Vocabulary and Both Absolute and Relative Features
Mitsuki Yoshida, Ryogo Yamamoto, Daiki Iwata +1 more
2021
DAN: Decentralized Attention-based Neural Network for the MinMax Multiple Traveling Salesman Problem
Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
2021
Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear
Anupam K. Gupta, Laurence Aitchison, Nathan F. Lepora
2021
Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
Roderick Murray-Smith, John H. Williamson, Andrew Ramsay +3 more
2021
Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, Katherine Driggs-Campbell
2021
Safety-Critical Learning of Robot Control with Temporal Logic Specifications
Mingyu Cai, Cristian-Ioan Vasile
2021
Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor
Tanaka Kanji
2021
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance
Sai Nikhil Gona, Prithvi Raj Bandhakavi
2021
Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia
Fengpei Yuan, Ran Zhang, Dania Bilal +1 more
2021
Temporal Shift Reinforcement Learning
Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
2021
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach
Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz +1 more
2021
Implicit Behavioral Cloning
Pete Florence, Corey Lynch, Andy Zeng +7 more
2021
Learning Practically Feasible Policies for Online 3D Bin Packing
Hang Zhao, Chenyang Zhu, Xin Xu +2 more
2021
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Haitao Yang, Zaiwei Zhang, Siming Yan +5 more
2021
Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning
Leonid Antsfeld, Boris Chidlovskii
2021
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
Baiyu Peng, Jingliang Duan, Jianyu Chen +6 more
2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo +8 more
2021
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks
Sasindu Wijeratne, Sandaruwan Jayaweera, Mahesh Dananjaya +1 more
2021
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +2 more
2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen, Songan Zhang, H. Eric Tseng +3 more
2021
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +17 more
2021