Towards finger gaming humanoid robot: mechanism and perception development

Lin, Chyi‐Yeu; Huang, Chun‐Chia; Chuang, Li-Wen; Lin, Bo‐Yen; Lin, Ke-Zeng; Fahn, Chin-Shyurng

doi:10.1080/02533839.2015.1005024

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Experimental simulations, mimicking a restaurant's layout, demonstrated impressive positioning accuracy, with the robot's positioning typically deviating by only about 3 cm from the target position. Lin et al (2015) [12] focused on creating a humanoid robot capable of enhancing the dining experience by engaging customers in the finger-guessing game. Their design incorporated a high-speed camera to record the player's game movements, and a low Degree of Freedom (DOF) facial expression generation device for responsive interactions.…”

Section: ) Ongoing Researchmentioning

confidence: 99%

Design and Development of FOODIEBOT Robot: From Simulation to Design

Moshayedi,

Roy,

Liao

et al. 2024

IEEE Access

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This investigation is centrally focused on the comprehensive evolution and enhancement of FOODIEBOT, an adaptive service automaton with a wide range of functionalities. Its capabilities encompass sophisticated image processing methods, seamlessly integrated via mobile applications (APP) and web interfaces, tailored specifically for intricate object manipulation in dining hall settings.During its developmental phase, the precise calibration of PID controller coefficients emerged as an essential requirement. The model underwent meticulous scrutiny through detailed simulations using MATLAB software. Following this phase, its operational efficiency navigating through circular, elliptical, spiral, and octagonal trajectories underwent rigorous examination, utilizing optimization methodologies like BAS, PSO, POA, and EO. The exposition emphasizes the diverse dispersion of optimized coefficients within each algorithmic framework. The pinnacle of this effort involved a comprehensive evaluation of pathway performance, amalgamating insights from each optimization paradigm. The discussion extensively delineates both simulated and realtime performance metrics of the robot, validating the accuracy and reliability of simulation in deriving PID controller values.In the comprehensive evaluation of methodologies and the robotic system's effectiveness, the BAS technique excels in operational efficiency. This method consistently outperforms its counterparts in execution time, primarily due to its meticulous optimization of particle count. The comparative analysis across various trajectories reveals intriguing insights. The EO approach showcases outstanding accuracy in Path 1, while the POA method achieves optimal precision in Path 3. Impressively, the BAS technique demonstrates unparalleled accuracy in Path 4. Furthermore, in terms of solution optimization, the BAS method consistently displays the shortest execution times across all traversed pathways. When examining maximum velocity along these routes, the PSO method excels in Paths 1, 3, and 4, consistently achieving the highest speeds. Notably, Path 2 uniquely displays the peak velocity attained by the POA method.This article presents comprehensive insights into the constituent elements of the robotic system's design. The inquiry delves into the intricate nuances of optimization methodologies, elucidating their profound impact on the service automaton's performance across diverse orientations. The pragmatic implications underscore the critical role of temporal considerations in the judicious selection of these methodologies. The observed congruence between simulated and practical performance serves as a definitive validation, affirming the precision of simulation computations and the subsequent derivation of PID controller values.

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Section: ) Ongoing Researchmentioning

confidence: 99%

Design and Development of FOODIEBOT Robot: From Simulation to Design

Moshayedi,

Roy,

Liao

et al. 2024

IEEE Access

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Stable walking in a biped robot with force-feedback-induced center-of-mass regulation

Chen

et al. 2016

Journal of the Chinese Institute of Engineers

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Drive Through Robotics: Robotic Automation for Last Mile Distribution of Food and Essentials During Pandemics

Sharma

Zanotti²,

Musunur³

2020

IEEE Access

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The COVID-19 pandemic unraveled the weak points in the global supply chain for goods. Specifically, people all over the world, including those in the most advanced nations have had to go without medical supplies and personal protective equipment. Scarcity of essentials increases anxiety and uncertainty exacerbating unproductive behaviors like hoarding and price gouging. Left to market forces, such unfair practices are likely to aggravate hardships and increase the loss of lives. Thus, there is a critical need to ensure safe distribution of food and essential supplies to all citizens to sustain them through challenging times. To this end, we propose a simple, affordable and contact-less robotic system for preparing and dispensing food and survival-kits at community scale. The system has provisions to prevent hoarding and price gouging. Design, simulation, and, validation of the system has been completed to ensure readiness for real world implementation. This project is part of an open-source program and detailed designs are available upon request to entities interested in using it to serve their communities.

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Towards finger gaming humanoid robot: mechanism and perception development

Cited by 3 publications

References 11 publications

Design and Development of FOODIEBOT Robot: From Simulation to Design

Design and Development of FOODIEBOT Robot: From Simulation to Design

Stable walking in a biped robot with force-feedback-induced center-of-mass regulation

Drive Through Robotics: Robotic Automation for Last Mile Distribution of Food and Essentials During Pandemics

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