相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。An Error-State Model Predictive Control on Connected Matrix Lie Groups for Legged Robot Control
Sangli Teng et al.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2022)
Learning-Based Methods of Perception and Navigation for Ground Vehicles in Unstructured Environments: A Review
Dario Calogero Guastella et al.
SENSORS (2021)
Incorporating Multi-Context Into the Traversability Map for Urban Autonomous Driving Using Deep Inverse Reinforcement Learning
Chanyoung Jung et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2021)
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
Gregory Kahn et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2021)
A survey of inverse reinforcement learning: Challenges, methods and progress
Saurabh Arora et al.
ARTIFICIAL INTELLIGENCE (2021)
Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification
Russell Buchanan et al.
AUTONOMOUS ROBOTS (2021)
Regressed Terrain Traversability Cost for Autonomous Navigation Based on Image Textures
Mohammed Abdessamad Bekhti et al.
APPLIED SCIENCES-BASEL (2020)
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
Anh Nguyen et al.
2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2020)
Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping
Lu Gan et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Sampling-based incremental information gathering with applications to robotic exploration and environmental monitoring
Maani Ghaffari Jadidi et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2019)
On Unsupervised Learning of Traversal Cost and Terrain Types Identification Using Self-organizing Maps
Jan Faigl et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: THEORETICAL NEURAL COMPUTATION, PT I (2019)
What am I touching? Learning to classify terrain via haptic sensing
Jakub Bednarek et al.
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)
Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning
Lorenz Wellhausen et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2019)
Road Extraction by Deep Residual U-Net
Zhengxin Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization
Peter Fankhauser et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2018)
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
Raul Mur-Artal et al.
IEEE TRANSACTIONS ON ROBOTICS (2017)
Large-scale cost function learning for path planning using deep inverse reinforcement learning
Markus Wulfmeier et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2017)
Terrain traversability analysis methods for unmanned ground vehicles: A survey
Panagiotis Papadakis
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
David Silver et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2010)