Human–robot communication for collaborative decision making — A probabilistic approach

Kaupp, Tobias; Makarenko, Alexei; Durrant‐Whyte, Hugh

doi:10.1016/j.robot.2010.02.003

Cited by 78 publications

(49 citation statements)

References 22 publications

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“…Most of the literature (Botha 2015a;Boudreau-Trudel et al 2014;Fisher & Schnittger 2012;Hattingh et al 2010;Horberry, Burgess-Limerick & Steiner 2010;Kaupp et al 2010;McNab et al 2013;Nong 2010;Parasuraman, Sheridan & Wickens 1997) agree with the paraphrased summary from Lynas and Horberry (2011). There have been modernisation initiatives such as proximity detection systems that have reduced vehicle-to-vehicle (and vehicle-to-person) accidents.…”

Section: State Of Knowledgementioning

confidence: 99%

“…Identifying and analysing stakeholders' concerns and mitigating the negative effects of mechanisation (modernisation) may potentially lead to a win-win scenario for all stakeholders. For instance, critical stakeholders such as labour unions traditionally oppose the mechanising of mines; however, Kaupp, Makarenko & Durrant-Whyte (2010) have shown that mechanisation may not necessarily lead to job losses but to different employment demographics such as the employment of more skilled people and to the upskilling of the current workforce.…”

Section: Background and Contextmentioning

confidence: 99%

“…They postulate that mechanisation results in less labour-intensive requirements from humans and, as such, women and occupationally challenged workers can still be accommodated by the industry. Other socio-economic effects that were suggested by Kaupp et al (2010) are that skilled professionals and operators might be located in areas remote from the actual mining site. The location of some mining personnel (usually skilled and with more disposable income) would have an impact on the micro-economic development of mining communities.…”

Section: State Of Knowledgementioning

confidence: 99%

See 2 more Smart Citations

The socio-economic effects of mechanising and/or modernising hard rock mines in South Africa

Gumede

2018

SAJEMS

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Background and aim: This article aims to explore stakeholders’ views on the potential effects of modernising hard rock mines in South Africa. Methods: This objective was achieved through eliciting and bringing together the views of different stakeholders. Different stakeholders were interviewed using qualitative research methodologies. The sample demographics were fairly representative and ranged from operators to executives and from employee to employer representatives. The main form of data collection was one-on-one face-to-face interviews. Results: One of the major findings of this research is that stakeholders have different levels of understanding of mechanisation and modernisation. The levels of understanding were found to be proportional to the levels of education. Conclusion: There seems to be general support for mechanisation and modernisation among the participants. The identified socio-economic challenges and benefits were relatively similar and aligned among participants. The main difference, however, pertained to the depth and scope of the problem or opportunity as perceived by different participants. Interviewees were also unanimous in identifying the social-economic benefits of mechanisation; these were in line with those identified in the literature, namely benefits in occupational health and safety issues, efficiency, costs and improved life of mines. Furthermore, participants viewed mechanisation and modernisation as an opportunity to reskill themselves and to improve operations and quality of life. More importantly, stakeholders seemed to share a common vision and interest of the future; as such, they were able to see beyond their constituencies and interests.

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Section: State Of Knowledgementioning

confidence: 99%

Section: Background and Contextmentioning

confidence: 99%

Section: State Of Knowledgementioning

confidence: 99%

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The socio-economic effects of mechanising and/or modernising hard rock mines in South Africa

Gumede

2018

SAJEMS

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“…The probabilistic approaches are well known in several engineering fields such as nonlinear dynamics and robotics. Recently, in [5], a probabilistic approach was used in the field of Human-Robot communication. In [1], the sensitivity analysis for a two-link planar manipulator and the Stanford arm was conducted according to a probabilistic method.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of parallel manipulators using an interval linearization method

Tannous

Caro

Goldsztejn

2014

Mechanism and Machine Theory

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The subject of this paper is about an interval linearization method for the sensitivity analysis of manipulators to variations in their geometric parameters. First, the proposed method is presented. Then, three manipulators are used as illustrative examples: The five-bar mechanism, the 3-RRR planar parallel manipulator and the Orthoglide. The benefits and restrictions of the proposed method are also discussed and appropriate indices are derived to show the efficiency of the method. The obtained results are also compared with the results obtained with frequently used methods. The proposed method is simple to implement and provides verified results in low computational time and thus can be applied to complex robots such as the Orthoglide. In particular, the standard linearization method computes unreliable results near singularities, whereas the proposed interval linearization method automatically detects such situations.

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“…It has been observed that humans' and robots' abilities are complementary in many aspects and thus they should help each other in order to fulfill better services for humans [14,6,8]. One means to this end, which has drawn increasing interest recently, is to make robots capable of asking humans for help through human-robot dialogue [5,13,11].…”

Section: Introductionmentioning

confidence: 99%

Towards Metareasoning for Human-Robot Interaction

Chen

Sui

2013

Advances in Intelligent Systems and Computing

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Abstract. This paper proposes a model of metareasoning for HumanRobot Interaction (HRI). Robots' basic abilities for HRI-planning, learning and dialogue-are characterized as three loops in the model, with each spanning ground, object and meta-level. The model provides a conceptualization of HRI and a framework for incremental development of large HRI systems such as service robots by building meta-level functions on top of existing ground/object level components. A case-study focusing on meta-level control shows that the approach is effective and efficient for some application domains. In particular, meta-level control suggests a new opportunity to speed up planning while preserving completeness without any change to object level planners. The experiments also show that, for some basic HRI tasks, there are simple meta-level strategies with performances better than the common strategy in previous work.

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Human–robot communication for collaborative decision making — A probabilistic approach

Cited by 78 publications

References 22 publications

The socio-economic effects of mechanising and/or modernising hard rock mines in South Africa

The socio-economic effects of mechanising and/or modernising hard rock mines in South Africa

Sensitivity analysis of parallel manipulators using an interval linearization method

Towards Metareasoning for Human-Robot Interaction

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