Cognitive decision unit applied to autonomous biped robot NAO

Author(s):  
Tobias Deutsch ◽  
Clemens Muchitsch ◽  
Heimo Zeilinger ◽  
Markus Bader ◽  
Markus Vincze ◽  
...  
Author(s):  
Christina Appiah-Nimo ◽  
Gloria K.Q. Agyapong ◽  
Daniel Ofori

UN sustainable development goals has triggered production and consumption patterns aimed at achieving a better and more sustainable future for all by 2030. Sustainable value chain has become a business approach to mitigate the tragedy of the commons. Initiatives that promote socially and environmentally responsible behavior whiles pursuing business value is being leveraged across all economic sectors. COVID-19 has exposed how today's business is threatened more than ever by unsustainable production and consumer behavior patterns. The hospitality sector has not been left out of this challenge as the tourism industry was the worst hit by this pandemic. All over the world, the growth of the tourism industry is propelled by the movement of people and the subsequent need created for the hospitality sector. The global health crises, coupled with consumers' growing interest for sustainable environment has fueled the desire for more eco-friendly products by the sector. Moreover, every consumer goes through a cognitive decision-making process to finally make a choice for a product - and there is a high probability of the decision to inform the sustainable consumption pattern of the consumer and also the magnitude of the effect the decision will have on the environment. This implies that every consumer purchase has implications regarding not only economics (Stone, 1954) but ethics and sustainability. Keywords: consumer booking intention, shopping orientation, sustainable initiatives


2020 ◽  
Vol 17 (6) ◽  
pp. 172988142097634
Author(s):  
Huan Tran Thien ◽  
Cao Van Kien ◽  
Ho Pham Huy Anh

This article proposes a new stable biped walking pattern generator with preset step-length value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is applied to derive the specified biped hip and feet positions. The two objectives related to the biped walking stability and the biped to follow the preset step-length magnitude have been fully investigated and Pareto optimal front of solutions has been acquired. To demonstrate the effectiveness and superiority of proposed multi-objective JAYA, the results are compared to those of MO-PSO and MO-NSGA-2 optimization approaches. The simulation and experiment results investigated over the real small-scaled biped HUBOT-4 assert that the multi-objective JAYA technique ensures an outperforming effective and stable gait planning and walking for biped with accurate preset step-length value.


2021 ◽  
Vol 11 (5) ◽  
pp. 2342
Author(s):  
Long Li ◽  
Zhongqu Xie ◽  
Xiang Luo ◽  
Juanjuan Li

Gait pattern generation has an important influence on the walking quality of biped robots. In most gait pattern generation methods, it is usually assumed that the torso keeps vertical during walking. It is very intuitive and simple. However, it may not be the most efficient. In this paper, we propose a gait pattern with torso pitch motion (TPM) during walking. We also present a gait pattern with torso keeping vertical (TKV) to study the effects of TPM on energy efficiency of biped robots. We define the cyclic gait of a five-link biped robot with several gait parameters. The gait parameters are determined by optimization. The optimization criterion is chosen to minimize the energy consumption per unit distance of the biped robot. Under this criterion, the optimal gait performances of TPM and TKV are compared over different step lengths and different gait periods. It is observed that (1) TPM saves more than 12% energy on average compared with TKV, and the main factor of energy-saving in TPM is the reduction of energy consumption of the swing knee in the double support phase and (2) the overall trend of torso motion is leaning forward in double support phase and leaning backward in single support phase, and the amplitude of the torso pitch motion increases as gait period or step length increases.


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