Historical Development of BHR Humanoid Robots

Huang, Qiang; Yang, Tianqi; Liao, Wenxi; Zhang, Weimin; Yu, Zhangguo; Chen, Xuechao; Ceccarelli, M.

doi:10.1007/978-3-030-03538-9_25

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…However, it is likely that the actual interface of these systems will be related to how trust has been establishede.g. the development of humanoid robots (Huang et al, 2019).…”

Section: Benefits Of Real-time Feedback Systemsmentioning

confidence: 99%

Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

Laat

Joksimovíc

2020

IJILT

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PurposeTo help workers make the right decision, over the years, technological solutions and workplace learning analytics systems have been designed to aid this process (Ruiz-Calleja et al., 2019). Recent developments in artificial intelligence (AI) have the potential to further revolutionise the integration of human and artificial learning and will impact human and machine collaboration during team work (Seeber et al., 2020).Design/methodology/approachComplex problem-solving has been identified as one of the key skills for the future workforce (Hager and Beckett, 2019). Problems faced by today's workforce emerge in situ and everyday workplace learning is seen as an effective way to develop the skills and experience workers need to embrace these problems (Campbell, 2005; Jonassen et al., 2006).FindingsIn this commentary the authors argue that the increased digitization of work and social interaction, combined with recent research on workplace learning analytics and AI opens up the possibility for designing automated real-time feedback systems capable of just-in-time, just-in-place support during complex problem-solving at work. As such, these systems can support augmented learning and professional development in situ.Originality/valueThe commentary reflects on the benefits of automated real-time feedback systems and argues for the need of shared research agenda to cohere research in the direction of AI-enabled workplace analytics and real-time feedback to support learning and development in the workplace.

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“…However, it is likely that the actual interface of these systems will be related to how trust has been establishede.g. the development of humanoid robots (Huang et al, 2019).…”

Section: Benefits Of Real-time Feedback Systemsmentioning

confidence: 99%

Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

Laat

Joksimovíc

2020

IJILT

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“…In general, from BHR-1 to BHR-5, the team focused on humanoid walking and manipulation (Chen et al, 2017;Jiang et al, 2018;Huang et al, 2018). The humanoid robots can walk, play the traditional martial arts (e.g.…”

Section: Introductionmentioning

confidence: 99%

Historical Developments of BHR Humanoid Robots

Huang

Yang

Liao

et al. 2019

AHS

Self Cite

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Humanoid robots can achieve increasingly complex functions and adapt to more complex environments. To boost the development of humanoid robot technology, a team at Beijing Institute of Technology initiated the research on humanoid robots from 2000. Their research primarily focuses on stable walking, whole-body complex motion, human-robot interaction, and multimodal motion of humanoid robots. Thus far, the team has developed 6 generations of humanoid robots. The latest humanoid robot, BHR-6P, can achieve multi-mode motions (for example, walk, jump, fall protection, crawl and roll), which will significantly improve the ability of robot to adapt to the environment. This paper presented the historical evolution of BHR humanoid robots and outlined their functions and features.

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Historical Backgrounds on Robot Mechanism Design

Ceccarelli

2022

Robot Design

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Historical Development of BHR Humanoid Robots

Cited by 5 publications

References 8 publications

Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

Historical Developments of BHR Humanoid Robots

Historical Backgrounds on Robot Mechanism Design

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