Obstacle avoidance for bacteria-powered microrobots
Hoyeon Kim⁎; Anak Agung Julius†; MinJun Kim⁎⁎Southern Methodist University, Dallas, TX, United States†Rensselaer Polytechnic Institute, Troy, NY, United States
For practical applications that involve microrobots there are several control related challenges. These challenges are often alleviated by constructing ideal environments, which are devoid of potential disturbances that can affect performance. However, in less idealistic working spaces where obstacles exist, microrobotic navigation algorithms must account for these objects. An autonomous control system will be more efficient than manual control to avoid these obstacles. In addition, the autonomous navigation ...
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