An interactive maze scenario with physical robots and other smart devices

Jansen, Marc; Oelinger, Maria; Hoeksema, Kay; Hoppe, Ulrich

doi:10.1109/wmte.2004.1281337

Cited by 14 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this sense, Challenge-based learning offers opportunities for students to apply what they learn in real situations where they face problems, discovering and testing solutions and interacting with other students within a specific and close-up context (Fleur et al, 2021). Other examples of the above are found in Recke and Perna (2021), Flores et al (2016), andJansen et al (2004).…”

Section: Bibliometric Resultsmentioning

confidence: 99%

Simulated Learning Environments as an Interdisciplinary Option for Vocational Training: A Systematic Review

Navarro-Parra,

Chiappe

2023

Simulation & Gaming

View full text Add to dashboard Cite

Background The current scenario of university education calls for training spaces that go beyond direct instruction and knowledge memorization exercises. Such requirement stems from the need to articulate very diverse knowledge and skills that the current professional must develop both in university practice and in their daily work. Given this circumstance, it is imperative to build new teaching experiences that articulate the space of practice and the knowledge that corresponds to it, as scenarios for the interdisciplinary and permanent construction of knowledge. Method To address this issue, a systematic literature review has been conducted to explore research from the last 20 years on the educational implementation of simulations in various professions. After conducting filtering and sampling processes, 101 articles were reviewed, which were read in depth and to which qualitative processes of categorization and frequency analysis were applied. Results The results of the review highlight some advantages and limitations of simulations as learning resources and suggest the importance of their deployment from an interdisciplinary perspective of teaching, especially in health sciences. Conclusion Finally, we reflect on the importance of approaching simulation-based learning from a curricular perspective, which brings learning in higher education closer to the complex realities of the world of work. In addition, the existence of great challenges and transformative effects of its implementation on university educational structures and models is highlighted.

show abstract

Section: Bibliometric Resultsmentioning

confidence: 99%

Simulated Learning Environments as an Interdisciplinary Option for Vocational Training: A Systematic Review

Navarro-Parra,

Chiappe

2023

Simulation & Gaming

View full text Add to dashboard Cite

show abstract

“…There have been numerous studies applying smartphones as remote controllers for robots [13]- [15]. Likewise, smartphone to robot-based learning has various advantages, one of these being that the cost problem of the robot-only system can be overcome.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Education Assistant System Using Smartphones and Service Robots for Children

Jeong

Park

You

et al. 2014

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

In this paper, we propose a new education assistant system model using both smartphones and service robots for children's learning. Through the interaction between a smartphone and a robot, various use cases can be derived. For example, we can control the movement of the robot remotely, watch the status of the children using real-time streaming, or read the answer on the smartphone while only the question is displayed on the robot. Considering these facts, we present three use cases, namely 'remote control', 'streaming' and 'N-screen' for robot-based learning with smartphones. The proposed learning model is implemented in Android-based smartphones and a service robot using the OPRoS platform, and we show that the proposed model works well. 1

show abstract

“…In [7] an ultrasonic sensor localization system for autonomous mobile robot navigation in an indoor semi-structured environment is presented. To efficiently navigate mazes, various approaches for automated maze search have been implemented and several testing environments have been proposed [2], [8]. In [3] a knowledge-guided route search is proposed based on obstacle adaptive spatial cells.…”

Section: Introductionmentioning

confidence: 99%

Efficient, Swarm-Based Path Finding in Unknown Graphs Using Reinforcement Learning

Aurangzeb¹,

Lewis²,

Manfred³

2014

Control and Intelligent Systems

View full text Add to dashboard Cite

This paper addresses the problem of steering a swarm of autonomous agents out of an unknown maze to some goal located at an unknown location. This is particularly the case in situations where no direct communication between the agents is possible and all information exchange between agents has to occur indirectly through information "deposited" in the environment. To address this task, an  -greedy, collaborative reinforcement learning method using only local information exchanges is introduced in this paper to balance exploitation and exploration in the unknown maze and to optimize the ability of the swarm to exit from the maze. The learning and routing algorithm given here provides a mechanism for storing data needed to represent the collaborative utility function based on the experiences of previous agents visiting a node that results in routing decisions that improve with time. Two theorems show the theoretical soundness of the proposed learning method and illustrate the importance of the stored information in improving decision-making for routing. Simulation examples show that the introduced simple rules of learning from past experience significantly improve performance over random search and search based on Ant Colony Optimization, a metaheuristic algorithm.

show abstract

An interactive maze scenario with physical robots and other smart devices

Cited by 14 publications

References 4 publications

Simulated Learning Environments as an Interdisciplinary Option for Vocational Training: A Systematic Review

Simulated Learning Environments as an Interdisciplinary Option for Vocational Training: A Systematic Review

A Study on the Education Assistant System Using Smartphones and Service Robots for Children

Efficient, Swarm-Based Path Finding in Unknown Graphs Using Reinforcement Learning

Contact Info

Product

Resources

About