Robotic Hazard Detection to Ensure Workers’ Safety in Co-Robotic Construction

Date(s) - 03/18/2020
3:00 PM - 4:00 PM


Construction has remained the least automated and productive as well as the most
hazardous industry. Moreover, it has been plagued by a significant lack of diversity
in its workforce as well as aging laborers. To address these issues, co-robotic
construction has emerged as a new paradigm of construction. The industry is
gradually gearing up to embrace robotic solutions, and many construction robots
with various degrees of autonomy are under development or in the early stage of
deployment. Presenting a different horizon of construction—harmonious coexistence
and co-work between workers and robots—co-robotic construction is
expected to reform labor-intensive construction into the more productive, safer, and
more inclusive industry. However, an in-depth understanding of the robots’
situational intelligence is still lacking, particularly conclusive logic and
technologies to ensure workers’ safety nearby autonomous (or semi-) robots, which
is fundamental in realizing the co-robotic construction. To fill the gap, this research
established a comprehensive robotic hazard detection roadmap and developed core
technologies to realize it (i.e., proximity monitoring and prediction, semantic
relation detection, and pose and potential damage analysis), leveraging unmanned
aerial vehicles, computer vision, and deep learning. In this talk, I will describe how
the developed technologies with a conclusive logic can pro-actively detect the
robotics hazards taking various forms and scenarios in an unstructured and dynamic
construction environment. The successful implementation of the robotic hazard
detection roadmap in co-robotic construction allows for timely interventions such
as pro-active robot control and worker feedback, which contributes to reducing
robotic accidents. Eventually, this will make human-robot co-existence and
collaboration safer, while also helping to build workers’ trust in robot co-workers.
Finally, the ensured safety and trust between robots and workers would contribute
to promoting construction enterprises to embrace robotic solutions, boosting
construction reformation toward innovative co-robotic construction.

View seminar flyer

Join Zoom Meeting

Meeting ID: 785 787 5658

One tap mobile
+16465588656,,7857875658# US (New York)
+16699006833,,7857875658# US (San Jose)

Dial by your location
+1 646 558 8656 US (New York)
+1 669 900 6833 US (San Jose)
Meeting ID: 785 787 5658
Find your local number: