Autonomous exploration with online learning of traversable yet visually rigid obstacles

Prágr, Miloš; Bayer, Jan; Faigl, Jan

doi:10.1007/s10514-022-10075-4

Cited by 7 publications

(1 citation statement)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In college students' autonomous learning, they can evaluate and recognize the school from different perspectives based on their own needs. Meanwhile, it is also essential to learn to communicate, discuss and participate in the online interactive learning process with teachers and classmates [9][10]. This is not only limited to the knowledge points learned in class or new skills learned online through the network platform, but also should be able to combine theory and practice for practical ability training.…”

Section: Online Autonomous Learningmentioning

confidence: 99%

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

2023

aetp

View full text Add to dashboard Cite

With the progress of society, college students have a strong demand for new media technologies such as the internet, digitization and information resources, which has led to the formation of autonomous learning models in the internet environment. This article aimed to study the cultivation strategies of online autonomous learning ability for college students. Through the investigation of the online learning platform, the problems existing in the current situation and their influencing factors could be understood. Then the hypothesis was verified based on the theoretical model, constructing the model for practical application effectiveness testing. Finally, based on the data results, a preliminary summary was made that the participation rate of college students in online extracurricular expansion classes was not very high, basically maintaining between 73% and 78%. However, due to the rich and diverse online courses, most students were able to actively communicate and exchange with teachers. What they need to do was how to access the internet and use online platforms to acquire and internalize knowledge. This indicated that most students have mastered the ways to acquire knowledge on online platforms and had a high level of understanding of them.

show abstract

Section: Online Autonomous Learningmentioning

confidence: 99%

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

2023

aetp

View full text Add to dashboard Cite

show abstract

Overview of Terrain Traversability Evaluation for Autonomous Robots

Shu,

Dong,

Liu

et al. 2024

Journal of Field Robotics

View full text Add to dashboard Cite

Traversability evaluation is the foundation and core of unmanned platforms for scene understanding and autonomous navigation, whose successful completion relies on the analysis of the platform's characteristics and the semantic and geometric features of the surrounding environment. This topic has been reviewed by many literatures, which are characterized by a single perspective and lack comprehensive evaluation frameworks. Thus, the concept and developmental trajectory of traversability evaluation are initially outlined in this paper, distinguishing it from other issues, while constructing an evaluation framework based on two categories: direct assessment and downstream task assessment. Subsequently, traversability evaluation methods are classified based on multiple dimensions, including sensor types, robot types, usage scenarios, and learning approaches. On the basis of the constructed evaluation framework, comparisons are made among existing algorithms in terms of performance and runtime. Subsequently, a summary is provided on commonly used features and their mainstream computation methods in terrain evaluation. Additionally, open‐source data sets in this field and projects for scene construction and algorithm validation are compiled and organized. Finally, an analysis is conducted on the development direction and trends, emphasizing the urgent need to establish standardized evaluation systems and comparison baselines. Furthermore, it is imperative that various environmental and platform information be comprehensively integrated into algorithms, while also ensuring that simulation, demonstration, and exploration are incorporated into a unified framework to enhance the robot's learning capability.

show abstract

Interaction-aware control for robotic vegetation override in off-road environments

Noren,

Vundurthy,

Scherer

et al. 2025

Journal of Terramechanics

View full text Add to dashboard Cite

Autonomous exploration with online learning of traversable yet visually rigid obstacles

Cited by 7 publications

References 53 publications

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

Overview of Terrain Traversability Evaluation for Autonomous Robots

Interaction-aware control for robotic vegetation override in off-road environments

Contact Info

Product

Resources

About