A mixed reality game using 3Pi robots &amp;#x2014; &amp;#x201C;PiTanks&amp;#x201D;

Costa, Hugo Barros; Cebola, Peter; Cunha, Tiago; Sousa, Armando

doi:10.1109/cisti.2015.7170600

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The Pololu 3pi robot was used to test the algorithms used to define the environment. This robot has a small structure (9.5 cm in diameter) and carries five line detection sensors, which allows the robot to successfully track the line [21,22]. There are serial communication ports and additional digital inputs and outputs on the robot.…”

Section: Mobile Robotmentioning

confidence: 99%

Optimized Graph Search Algorithms for Exploration with Mobile Robot

Güllü

Kuscu

2021

EMITTER Int'l J. of Engin. Technol.

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Graph search algorithms and shortest path algorithms, designed to allow real mobile robots to search unknown environments, are typically run in a hybrid manner, which results in the fast exploration of an entire environment using the shortest path. In this study, a mobile robot explored an unknown environment using separate depth-first search (DFS) and breadth-first search (BFS) algorithms. Afterward, developed DFS + Dijkstra and BFS + Dijkstra algorithms were run for the same environment. It was observed that the newly developed hybrid algorithm performed the identification using less distance. In experimental studies with real robots, progression with DFS for the first-time discovery of an unknown environment is very efficient for detecting boundaries. After finding the last point with DFS, the shortest route was found with Dijkstra for the robot to reach the previous node. In defining a robot that works in a real environment using DFS algorithm for movement in unknown environments and Dijkstra algorithm in returning, time and path are shortened. The same situation was tested with BFS and the results were examined. However, DFS + Dijkstra was found to be the best algorithm in field scanning with real robots. With the hybrid algorithm developed, it is possible to scan the area with real autonomous robots in a shorter time. In this study, field scanning was optimized using hybrid algorithms known.

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Section: Mobile Robotmentioning

confidence: 99%

Optimized Graph Search Algorithms for Exploration with Mobile Robot

Güllü

Kuscu

2021

EMITTER Int'l J. of Engin. Technol.

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“…Considering the domain of mixed reality robotic gaming, most of the existing works exploit custom sensors, markers or similar devices to assist tracking. For example, in [34], colored markers on the robots allow the tracking system to accurately determine their identity, position and orientation. Tracking is performed with an overhead camera, and occlusions are not handled (as they cannot occur).…”

Section: Introductionmentioning

confidence: 99%

Robust Robot Tracking for Next-Generation Collaborative Robotics-Based Gaming Environments

Piumatti

Lamberti

Sanna

et al. 2020

IEEE Trans. Emerg. Topics Comput.

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The collaboration between humans and robots is one of the most disruptive and challenging research areas. Even considering advances in design and artificial intelligence, humans and robots could soon ally to perform together a number of different tasks. Robots could also became new playmates. In fact, an emerging trend is associated with the so-called phygital gaming, which builds upon the idea of merging the physical world with a virtual one in order to let physical and virtual entities, such as players, robots, animated characters and other game objects interact seamlessly as if they were all part of the same reality. This paper specifically focuses on mixed reality gaming environments that can be created by using floor projection, and tackles the issue of enabling accurate and robust tracking of off-the-shelf robots endowed with limited sensing capabilities. The proposed solution is implemented by fusing visual tracking data gathered via a fixed camera in a smart environment with odometry data obtained from robot's on-board sensors. The solution has been tested within a phygital gaming platform in a real usage scenario, by experimenting with a robotic game that exhibits many challenging situations which would be hard to manage using conventional tracking techniques.

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Learning through play in pervasive context: A survey

Lamrani

Abdelwahed

2015

2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA)

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A mixed reality game using 3Pi robots — “PiTanks”

Cited by 5 publications

References 5 publications

Optimized Graph Search Algorithms for Exploration with Mobile Robot

Optimized Graph Search Algorithms for Exploration with Mobile Robot

Robust Robot Tracking for Next-Generation Collaborative Robotics-Based Gaming Environments

Learning through play in pervasive context: A survey

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