Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation
Yash Goel, Narunas Vaskevicius, Luigi Palmieri +2 more
2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu, Sicun Gao
2022
You Only Live Once: Single-Life Reinforcement Learning
Annie S. Chen, Archit Sharma, Sergey Levine +1 more
2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Allen Nie, Yannis Flet-Berliac, Deon R. Jordan +2 more
2022
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
Erqian Tang, Xiaotian Guo, Todor Stefanov
2022
Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
Joseph A. Vincent, Mac Schwager
2022
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain
Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino +3 more
2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Jifeng Hu, Yanchao Sun, Hechang Chen +4 more
2022
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
Dongjie Yu, Wenjun Zou, Yujie Yang +4 more
2022
A Concise Introduction to Reinforcement Learning in Robotics
Akash Nagaraj, Mukund Sood, Bhagya M Patil
2022
Observed Adversaries in Deep Reinforcement Learning
Eugene Lim, Harold Soh
2022
Interpreting Neural Policies with Disentangled Tree Representations
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde +2 more
2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang, Patrick Yin, Ashvin Nair +3 more
2022
Microscopy is All You Need
Sergei V. Kalinin, Rama Vasudevan, Yongtao Liu +3 more
2022
Regret Bounds for Risk-Sensitive Reinforcement Learning
O. Bastani, Y. J. Ma, E. Shen +1 more
2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar, Anikait Singh, Frederik Ebert +4 more
2022
Simulating Coverage Path Planning with Roomba
Robert Chuchro
2022
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao +2 more
2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner, Ramin Hasani, Alexander Amini +3 more
2022
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Yunhao Li, Zhenbo Yu, Yucheng Zhu +3 more
2022
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
Yao Mu, Yuzheng Zhuang, Fei Ni +4 more
2022
Ball-and-socket joint pose estimation using magnetic field
Tai Hoang, Alona Kharchenko, Simon Trendel +1 more
2022
Cloud Native Robotic Applications with GPU Sharing on Kubernetes
Giovanni Toffetti, Leonardo Militano, Seán Murphy +2 more
2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Joe Watson, Jan Peters
2022