Abstract
Due to the dynamic environment in industries at the beginning of the twenty-first century, there is a significant focus on operating robots in unstructured environments. However, a significant impediment to the proliferation of these techniques is the lack of reliable visual and force feedback and suitable fusion of these multiple modes of data to allow the robot to perceive and adapt to the external environment. This monograph presented two examples of this process, i.e., integration of bin picking and subsequent assembly to illustrate how an industrial robot can be adapted to perceive the external environment and perform tasks intelligibly. This chapter summarizes and concludes the content presented earlier. Finally it also reveals directions for future advancement in this field.
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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Hayat, A.A. et al. (2022). Conclusion. In: Vision Based Identification and Force Control of Industrial Robots. Studies in Systems, Decision and Control, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-16-6990-3_7
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DOI: https://doi.org/10.1007/978-981-16-6990-3_7
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6989-7
Online ISBN: 978-981-16-6990-3
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