Robotics: An Introduction to Today’s Robot and Future Trends. Our work might have significant implication for the further development of bio- robots with hybrid intelligence. The results show that our method simplifies the controlling logic and realizes the automatic navigation for rat- robots successfully. In navigation experiments, rat- robots learn the controlling methods in short time. Due to the reward-seeking instinct and trial-and-error capability, bio- robot can be steered to keep walking along the right route with rewards and correct its direction spontaneously when rewards are deprived. This paper proposes a new method to realize the automatic navigation for bio- robots with electrical micro-stimulation as real-time rewards. Current automatic navigation methods for bio- robots focus on the controlling rules to force animals to obey man-made commands, with animals' intelligence ignored. Sun, Chao Zhang, Xinlu Zheng, Nenggan Chen, Weidong Zheng, Xiaoxiangīio- robots that controlled by outer stimulation through brain computer interface (BCI) suffer from the dependence on realtime guidance of human operators. Research on the robot lawn mower, especially on the region filling of path planning, is significant in industrial and agricultural applications.īio- robots automatic navigation with electrical reward stimulation. Also, an advanced omnidirectional navigation system and a multisensor-based control system are used in the automatic operation. Some strategies for region filling of path planning have been developed for a partly-known or a unknown environment. The robot lawn mower automatically completes its work with the region filling operation, a new kind of path planning for mobile robots. L.Ī domestic mobile robot, lawn mower, which performs the automatic operation mode, has been built up in the Center of Robotics Research, University of Cincinnati. The proposed system is expected to become a promising device in LHR treatment.Īutomatic Operation For A Robot Lawn Mower RESULTS showed that the system successfully demonstrated accuracy and effectiveness. The localization error test and the area-per- spot test produced satisfactory outcome averages of 1.04 mm error and 38.22 mm(2)/ spot, respectively. During the test, it was demonstrated that the arbitrary shapes were detected, and that the laser was delivered uniformly. During the treatment, the system provides real-time treatment progress as well as the total number of "pick and place" automatically. For uniform delivery of laser energy, a unit of a commercial LHR device, a laser distance sensor, and a high-resolution webcam are attached at the six axis industrial robot's end-effector, which can be easily controlled using a graphical user interface (GUI). Lim, Hyoung-Woo Park, Sungwoo Noh, Seungwoo Lee, Dong-Hun Yoon, Chiyul Koh, Wooseok Kim, Youdan Chung, Jin Ho Kim, Hee Chan Kim, SungwanĪbstract Background and Objective: The robot-assisted automatic laser hair removal (LHR) system is developed to automatically detect any arbitrary shape of the desired LHR treatment area and to provide uniform laser irradiation to the designated skin area. PMID:25343281Ī study on the development of a robot-assisted automatic laser hair removal system. The proposed system is expected to become a promising device in LHR treatment. Conclusions: Results showed that the system successfully demonstrated accuracy and effectiveness. The localization error test and the area-per- spot test produced satisfactory outcome averages of 1.04 mm error and 38.22 mm2/ spot, respectively. Results: During the test, it was demonstrated that the arbitrary shapes were detected, and that the laser was delivered uniformly. During the treatment, the system provides real-time treatment progress as well as the total number of “pick and place†automatically. Methods: For uniform delivery of laser energy, a unit of a commercial LHR device, a laser distance sensor, and a high-resolution webcam are attached at the six axis industrial robot's end-effector, which can be easily controlled using a graphical user interface (GUI). Lim, Hyoung-woo Park, Sungwoo Noh, Seungwoo Lee, Dong-Hun Yoon, Chiyul Koh, Wooseok Kim, Youdan Chung, Jin Ho Kim, Hee ChanĪbstract Background and Objective: The robot-assisted automatic laser hair removal (LHR) system is developed to automatically detect any arbitrary shape of the desired LHR treatment area and to provide uniform laser irradiation to the designated skin area. A Study on the Development of a Robot-Assisted Automatic Laser Hair Removal System