Robots-Aided Participatory Crowdsourcing with Limited Task Budget

摘要

Participatory Crowdsourcing System (PCS) is now an important source of information for big data applications. In PCS, required environmental parameters are collected and shared by ordinary citizens. And the limited range of human activities and limited power or capability of smart devices make the PCS facing a lot of problems. But the wide use of robots, such as Unmanned Aerial Vehicle (UAV), can effectively alleviate the current problems in PCS. Lots of precision sensors can be installed into the robots, which makes sensory data collected by robots more trustful. However, the power and data transmission capability of robots are also limited. Meanwhile, it is much more expensive to use robots than recruit human participants. Thus, it will be most useful and necessary to use robots in PCS, let the robots and human participants working together, rather than using robots to replace the human participants. Obviously, the cooperation of robots and human participants will also make PCS facing new challenges, such as how to use the least amount of robots to reduce costs, etc.. In this paper, we analyze the different application scenarios of robots-aided PCS, and propose possible solutions to the existing problems. Finally, we discuss possible future work for robots-aided PCS.