Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation

Palamas, George; Ware, Andrew

doi:10.14569/ijarai.2013.021106

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…Humans form mental maps in order to determine the spatial character of a game environment [22]. These maps are compact topological representations of the environment [17] which contains many unique elements defined by Lynch [12] as a network of paths, edges, districts, nodes and landmarks. Game environments should provide the player with the necessary information for them to successfully reach the end destination.…”

Section: Navigating In 3d Gamesmentioning

confidence: 99%

Can’t see the Forest for the Trees: Perceiving Realism of Procedural Generated Trees in First-Person Games

Jaeger

Nilsson²,

Palamas³

2021

EAI Endorsed Transactions on Creative Technologies

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This paper explores a bio-mimetic approach for procedurally generated trees and forests, emphasizing the need to deliver a unique gameplay experience. For this study a tree growth simulator was developed, based on a set of growth factors, and an ecological model used for the placement of the trees. The contribution of the proposed scheme is twofold. In a micro level analyzes the user's perceived realism of a single tree, and on a macro level the user's experience in the context of navigation performance in a forest. Results of a user study indicate that the perceived appearance of the trees was mainly affected by the player's previous experience and expectations. The player's ability to navigate in a forest was affected both by growth factors of the trees and the distribution model used to generate the forest. Moreover, the participants reported the that distinct visual cues enhanced their navigation and orientation in the forest.

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Section: Navigating In 3d Gamesmentioning

confidence: 99%

Can’t see the Forest for the Trees: Perceiving Realism of Procedural Generated Trees in First-Person Games

Jaeger

Nilsson²,

Palamas³

2021

EAI Endorsed Transactions on Creative Technologies

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“…Robots development has met tremendous developments within the last years, as it can be seen in various papers Gupta et al (2021), Lim et al (2016), Kruse et al (2013), Palamas and Ware (2013), Müller et al (2004).…”

Section: Introductionmentioning

confidence: 99%

Accomplishing and Optimizing Robotic Self-Navigation Intelligence for Warehouse Logistics through Sensor Fusion and Antenna Localization

Sbirna¹,

Sbirna²

2022

Proceedings of the 9th International Conference on Advanced Materials and Systems

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Logistics automation has been the subject of many developments linking robotic hardware with improved quality and safety of work for warehouse employees. It is also a field where robotic navigation, route optimization and precise maneuvering are crucial to the competitiveness of the engineering product on the market. This research demonstrates a mathematical modeling method through which robots can navigate warehouse floors efficiently, using indoor positioning of high accuracy. Moreover, the paper also describes the hardware considerations taken into account when measuring the accuracy of the robot from achieving its destination on the floor plan. A prototype is creating, showing the sensor fusion interlinks for obstacle avoidance and distance mapping. Finally, the prototype and the algorithm are tested against eight static, as well as dynamic performance tests, in order to validate the performance of the system in static and dynamic interference environments. The goal of this paper is to present the engineering perspectives of optimizing a self-driving warehouse robot through utilization of the emerging technologies related to indoor positioning. This is presented through a prototype development of an Automated Guided Vehicle which will perform indoor positioning of itself across a warehouse floor plan and be able to avoid obstacles while driving towards its destination. Both the hardware description and the algorithmic modeling will be presented, accompanied by an extensive set of testing experiments, presented to determine the feasibility of our proposed developments in this field.

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Section: Introductionmentioning

confidence: 99%

Proceedings of the 9th International Conference on Advanced Materials and Systems

2022

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Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation

Cited by 6 publications

References 27 publications

Can’t see the Forest for the Trees: Perceiving Realism of Procedural Generated Trees in First-Person Games

Can’t see the Forest for the Trees: Perceiving Realism of Procedural Generated Trees in First-Person Games

Accomplishing and Optimizing Robotic Self-Navigation Intelligence for Warehouse Logistics through Sensor Fusion and Antenna Localization

Proceedings of the 9th International Conference on Advanced Materials and Systems

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