Background: Robot-assisted gait training (RAGT) is an effective method for walking rehabilitation. Additionally, the body weight support (BWS) system reduces muscle fatigue while walking. However, no previous studies have investigated the effects of RAGT with BWS on isokinetic strength of quadriceps and hamstring muscles. Objects: The purpose of this study was to investigate the effects of torque, work, and power on the quadriceps and hamstring muscles during RAGT, using the BWS of three conditions in healthy subjects. The three different BWS conditions were BWS 50%, BWS 20%, and full weight bearing (FWB). Methods: Eleven healthy subjects (7 males and 4 females) participated in this study. The Walkbot_S was used to cause fatigue of the quadriceps and hamstring muscles and the Biodex Systems 4 Pro was used to measure the isokinetic torque, work, and power of them. After RAGT trials of each of the three conditions, the subjects performed isokinetic concentric knee flexion and extension, five at an angular velocity of 60°/s and fifteen at an angular velocity of 180°/s. One-way repeated analysis of variance was used to determine significant differences in all the variables. The least significant difference test was used for post-hoc analysis. Results: On both sides, there were significant differences in peak torque (PT) of knee extension and flexion between the three BWS conditions at an angular velocity of 60°/s and 180°/s conditions. A post-hoc comparison revealed that the PT in the BWS 50% was significantly greater than in the BWS 20% and the FWB and the PT in the BWS 20% was significantly greater than in the FWB. Conclusion: The results of this study suggest that the lower BWS during RAGT seems to lower the isokinetic torque, work, and power of the quadriceps and hamstring muscles because of the muscle fatigue increase.

목적 : 본 연구는 상지운동장애를 가진 아동에게 상지재활로봇치료가 기능회복에 미치는 영향에 대하여 문 헌을 고찰하고 그 효과를 메타분석을 통해 알아보고자 한다. 연구방법 : 국외 검색엔진을 이용하여 자료를 수집하였다. 주요 검색용어는 ‘Upper extremity’, ‘Robotic’, ‘Rehabilitation’, ‘Child’ 등이 사용되었다. 2010년 1월부터 2020년 12월까지 게재된 연구 중 선정기준에 적합한 논문 22편을 선정하여 분석하였다. 결과 : 연구의 질적 분석 및 계량적 메타분석, 상지 재활로봇의 종류와 로봇 치료 전·후로 사용된 측정도 구를 분석하였다. 상지운동장애를 가진 아동에게 상지재활로봇치료의 효과는 큰 효과크기로 나타났으며, 통계적으로 유의하였다(p < .05). 결론 : 상지운동장애를 가진 아동에게 상지재활로봇의 치료는 로봇의 종류와 상관없이 기능회복에 효과적 임을 알 수 있었다. 이것은 임상에서 아동에게 상지 재활치료를 위한 치료방법으로 객관적인 근거가 될 수 있을 것이다.

With the recent development of autonomous driving technology, many researchers have studied autonomous mobile robots. Accordingly, they are developing diverse mobile robot actuators. However, most actuators mainly use reducers made of chains, belts, multi-stage gears, etc. So the volume and size of the actuators increase, and power transmission efficiency tends to be relatively low. Therefore, this study has proposed the reducer of the mobile robot actuator using a complex planetary gear train with small volume and high power transmission efficiency, and has confirmed the stability of the proposed reducer through finite element analysis.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a suggestion of control method in QR Code-aware indoor mobility robots.

The role of QR code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR codes and the convenience of producing and attaching a lot of information within QR codes have been raised, and many of these reasons have made QR codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR code robot with accuracy to reach within 3mm. This paper focuses on the driving operation techniques during the development of QR code-aware indoor mobility robots.

The role of QR code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR codes and the convenience of producing and attaching a lot of information within QR codes have been raised, and many of these reasons have made QR codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR code robot with accuracy to reach within 3mm. This paper focuses on the moving control model during the development of QR code-aware indoor mobility robots.

The paper studied the climbing structure and magnet selection method of exploration platform utilized for large-scale steel structures such as vessel surface. With respect to wall climbing robots, the study proposed a stable operation structure even in rapid incline change of vessel surface. Since the wheel-based operating method is hard to work flexibly in inclination changes, we employed joints and designed the robot to have a rotation joint in the center. The arrangement of wheels is an important aspect of this structure. Viewed from the side, the robot wheels should overlap with each other to have intersection points. The wheels here are ring-type permanent magnets and serve as a tool of attachment on walls. Based on the conditions identified through formula modeling, we proposed the required magnetic force. Important factors needed for magnetic force setup include platform weight, angle between ground and inclined plane, and friction coefficient. We considered only the required magnetic force for the stable adhesion of circular magnet while making not a separate mention about the necessary force for directional locomotion. The analysis results of ANSYS Maxwell are applied to magnetic attachment. Based on the final analysis results, we built a platform and found it did not slip and stayed attached on steel plate.

The experimental study investigates whether customers perceive a service robot as apparently more deep acting than surface acting and whether these perceptions differ for interactions with human service employees and humanoid service robots. Moreover, the role of gender within these service interactions is examined.

Based on the Anthropomorphism theory and the Computers Are Social Actors paradigm, this research adopts questionnaire method and explores the relationship between robot anthropomorphism, social presence, social cognition and consumer’ continued using intention. In addition, we select technology anxiety as the moderator to explore its boundary effect

Prior social robotics research has shown that robot design influences if people perceive a robot as friendly, trustworthy, or safe (Castro-Gonzalez et al., 2016; Rosenthal-Von Der Pütten & Krämer, 2014). Meanwhile, recent conceptual work has suggested that social robots will increasingly be used in the front line of service encounters (Gonzalez-Jimenez, 2018; Van doorn et al., 2017). According to The International Journal of Social Robotics social robots are robots that can communicate and interact with humans, among themselves, and with the environment, within the cultural and social structure assigned to its role. Real examples of the inclusion of these robots in retail settings already exist. For instance, some retailers use Softbank´s robot Pepper to greet and inform customers. Social robots such as Pepper can use their sensors and cameras to interpret customer reactions and adapt accordingly. Moreover, the robot can even make product recommendations based on the assessed customer´s mood, age, gender and, if available, purchase history (McKenna, 2018). Not surprisingly, there is a vast market potential associated with these robots, which is expected to grow to 87 billion by 2025 (BCG, 2017).

Robots for a wide range of purposes have been developed along with the rapid industrialization. On the basis of higher convenience, the robots have been creating new industrial environment. The robots are generally classified into service robots and industrial robots. Robots in various shapes have been developed on the basis of the autonomous mobile robots. The autonomous mobile robots have the possibility to crash against any object in their moving range. This paper suggests a collision avoidance method to prevent collision of robots. The collision avoidance method analyzes the road context data and makes a robot move to a safe area. The collision avoidance method proposed in this paper converts the road context data into the information value. The collision avoidance method analyzes the present risk on the basis of the converted information value. The collision avoidance method makes a robot move to a safe area when crash is estimated by the information analysis.

로봇세에 대한 논의는 미래 사회의 인간 고용에 대한 논의에서 출발한다. 현재까지 기계장치와 로봇의 등장 및 인구증가에도 불구하고, 실업률의 지나친 증가가 이루어지지 않은 것은 사실이다. 그러나 앞으로도 이와 유사한 상황이 계속될 것 이라고 단정하기는 어렵다. 기계가 인간보다 나은 육체적인 능력 이외에 인지-판단 능력에서도 계속적인 발전을 이루고 있기 때문이다. 이 글은 이와 같은 문제의식에서 출발하여 현재의 조세체계를 인간의 노동과 기계의 사용이라는 두 가지 측면에서 바라보았다. 현재의 조세체계는 인간의 노동과 기계 사용에 대하여 비중립 적이다. 즉, 세금을 고려하지 않은 세상에서 인간 과 기계에 동일한 비용이 소요되고, 같은 생산량을 산출한다고 하더라도, 세금 나아가 세금 유사 비용(4대 보험), 감가상각 등을 고려한다면 기계를 도입하는 것이 상당히 유리하다. 나아가 세원 중 상당부분은 인간의 근로를 통하여 징수되고 있으므로, 로봇의 도입은 세원잠식의 우려도 존재 한다. 이와 같은 비중립성을 해소하기 위하여 ① 감 가상각 제도 개선, ② 근로자 고용에 대한 인센티브 부여, ③ 근로자 해고 내지 비고용에 대한 패널티 부여, ④ 자동화 시설 및 기계장치 투자 등에 대한 세액공제 폐지, ⑤ 기계장치 내지 로봇에 관한 취득세 및 재산세 도입과 같은 방안을 제시 하였다. 다만 위와 같은 방안에 있어 조세의 실질적인 부담을 누가 지게 될 것인지(경제적인 귀착) 에 대한 심도 깊은 논의가 추가적으로 필요하다. 로봇세의 도입은 기술발전에 대한 제약을 가할 수도 있을 것이다. 그러나 기계에 의한 인간의 대체는 최소한 기계가 더욱 효율적인 경우에만 이루어져야 한다. 다만 이의 전면적인 입법은 쉽지 않을 것으로 보이고, 로봇세라는 논쟁적이고 정치적인 문제에 대하여 미래 세대를 위한 적절한 타협이 이루어지기를 바랄 뿐이다.

Background: Previous robot-mediated gait training has been proven several limitations such as pointless repeated motion training, decreased presence, etc. In this research, adult stroke patients were participated in robot-mediated gait training accompanied with or without virtual reality program. Objectives: Exploring whether the results indicated virtual reality system has contribution to muscle strength and balance ability. Design: A case series research, cross-over trial. Methods: Eleven participants (male 4, female 7) with adults diagnosed as stroke from medical doctor ware engaged. The participants received 2 treatment sessions of identical duration, robot-assisted gait training with virtual reality and robot-assisted gait training with screen-off randomly crossed over include 1-day for each person of wash-out period. The parameter was muscle activity, the researchers assessed sEMG (surface electromyography). Results: The result showed less muscle activities during training in robotassisted gait training with virtual reality circumstances, and these indicated muscles were gluteus medius muscle, vastus medialis muscle, vastus intermedius and vastus lateralis muscle, semimembranosus muscle, gastrocnemius- lateral head, and soleus muscle (P<.05). Conclusion: In this study, we analyzed the outcome of muscle activity for clinical inference of robot-assisted gait training with virtual reality (VR). Less muscle activity was measured in the treatment accompanied by VR, therefore, a more systematic, in-depth and well-founded level of follow-up research is needed.

This paper deals with the dynamic control of redundant robot manipulator. Traditionally, the kinematic control schemes for redundant robot manipulator were developed from the point of speed and used under the assumption that the dynamic control of manipulator is perfect. However, in reality, the precise control of redundant robot manipulator is very difficult due to their dynamics. Therefore, the kinematic controllers for redundant robot manipulator were employed in the acceleration dimension and may be combined with the computed torque method to achieve the accurate control performance. But their control performance is limited by the accuracy of the manipulator parameters such as the link mass, length, moment of inertia and varying payload. Hence in this paper, the proportional and derivative control gains of the computed torque controller are optimized by the genetic algorithm on the typical payloads, and the neural network is applied to obtain the proper control gains for arbitrary loads. The simulation results show that the proposed control method has better performance than the conventional control method for redundant robot manipulator.

This paper proposes a method to reduce the pose error and to solve the dead reckoning issue which occurs when the mobile robot with continuous-tracks travels in the unstructured environments. When the continuous-track type mobile platform travels on terrain such as sand, gravel, stairs and etc., slippage occurs and thus the driving state of the mobile robot cannot be recognized normally. To compensate for this pose error, the proposed method utilizes optical flow estimation detected by camera. This method is tested through experiment. Finally, This method reduces the pose error detected on inertia measurement unit within some limit, while the pose error of without compensation increases without limit during robot move.