• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.3
• /
• pp.347-352
• /
• 2012

This paper presents a robotic foot mechanism based on truss structure for walking robots and analyzes its effectiveness for compliant walking. The specified foot mechanism has been modeled by observing the structure and behavior of human foot. The frame of bone used in the human foot is considered as a truss, and the ligaments of the human foot are represented as a simple stiffness element. So such a robotic foot has an advantage to moderate the impact of foot when a walking robot takes a step. As a result, it is practically expected that the proposed robotic foot mechanism can contribute to reduce the physical fatigue of walking robots.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.1
• /
• pp.12-17
• /
• 2013

This paper presents a model of bipedal leg mechanism with a compliant foot, and the contact repulsion of the foot for a typical walking pattern and its influence on the knee and hip joints of the leg will be analyzed. This analysis is useful for us to figure out the physical impact of the foot when a walking robot takes a step. Also it can be applied to determine the joint specification of the leg mechanism. As a result, it is shown that the compliance characteristics of a robotic foot can contribute to alleviate the joint torques of the leg affected by the contact repulsion of the foot.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.3
• /
• pp.238-243
• /
• 2013

This paper analyzes a virtual work of the knee and hip joints of bipedal walking robots. For the purpose, we consider a model of bipedal leg mechanism with a compliant foot and a typical walking pattern. We also check the torque characteristics at the joint space propagated from the space of the foot contacting a flat and stiff surface, and present the works accumulated at the joint space. As a result, it is shown that this analysis is useful for evaluating the fatigue of the leg mechanism by the physical walking contact between the foot and the surface, and it is applicable for improving the compliant characteristics at the foot space by employing a proper footgear.

• ICROS
• /
• v.21 no.2
• /
• pp.25-30
• /
• 2015

본 논문에서는 간병인의 도움없이 자가 보행 재활에 효과적으로 사용될 수 있는 새로운 개념의 가슴 착용형 로봇을 개발하였다. 개발된 로봇의 특징은 크게 세 가지로 나뉜다. 첫째, 구조적 특징으로써, 하박에 착용하는 기존 지팡이 타입의 엘보 크러치와 달리 개발된 로봇은 가슴에 착용되어 착용자의 두 팔을 자유롭게 하는 동시에 팔의 부담을 제거하여 준다. 둘째는 구동 알고리즘의 특징으로써, 가슴부에 부착된 압력센서로부터 사용자의 보행의도를 자동적으로 인식하여 로봇의 다리를 이동시킨다. 또한 착용자의 안전을 위해 초음파 센서를 이용하여 착용자 전방에 장애물이 나타날 시 보행을 멈추고 경고음을 발생시킨다. 마지막으로, 스카치요크 메커니즘을 사용하여 지지다리의 상승과 하강 시 지면 반발력으로 인하여지지 발 상/하강 모터에 과도한 토크가 부과되지 않도록 하였다. 이러한 세 가지 특징으로부터 개발된 로봇이 자가 보행 재활에 효과적으로 사용될 수 있음을 실험적으로 보였으며, EMG (Electromyography) 센서를 이용하여 근력 보조 성능을 정량적으로 검증하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2012.06a
• /
• pp.274-275
• /
• 2012

생체모방로봇은 인간을 비롯하여 새, 곤충, 물고기 등 동물들의 기본구조, 행동원리 및 메커니즘을 모방한 로봇이다. 정찰, 수색, 테러진압 등 군사작전에서부터 인명구조까지 생체모방로봇은 인간의 눈과 발을 대신하여 인간이 접근할 수 없는 오염 지역을 면밀히 탐지하는 데에도 유용하리라 예상된다. 이와 같은 생체모방로봇이나 MAV 등을 실시간으로 원격에서 모니터링하고 제어할 수 있는 DAQ 시스템의 중요성이 커지고 있다. 본 논문에서는 생체모방로봇인 가오리를 원격 관제 센터에서 RF무선통신을 이용하여 안정적인 제어 및 모니터링이 가능한 DAQ(Data AcQuisition) 시스템을 제안한다.

• The Journal of Korea Robotics Society
• /
• v.12 no.2
• /
• pp.161-172
• /
• 2017

Foot mechanisms play the role of interface between the main body of robotic systems and the ground. Biomimetic design of the foot mechanism is proposed in the paper. Specifically, multi-chained and multiple contact characteristics of general foot mechanisms are analyzed and their advantages are highlighted in terms of impulse. Using Newton-Euler based closed-form external and internal impulse models, characteristics of multiple contact cases are investigated through landing simulation of an articulated leg model with three kinds of foot. It is shown that in comparison to single chain and less articulated linkage system, multi-chain and articulated linkage system has superior characteristic in terms of impulse absorption as well as stability after collision. The effectiveness of the simulation result is verified through comparison to the simulation result of a commercialized software.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.46 no.4
• /
• pp.7-16
• /
• 2009

A robot must be able to generate various skills to achieve given tasks intelligently and reasonably. The robot must first learn affordances to generate the skills. An affordance is defined as qualities of objects or environments that induce actions. Affordances can be usefully used to generate skills. Most tasks require sequential and goal-oriented behaviors. However, it is usually difficult to accomplish such tasks with affordances alone. To accomplish such tasks, a skill is constructed with an affordance and a soft behavioral motivation switch for reflecting goal-oriented elements. A skill calculates a behavioral motivation as a combination of both presently perceived information and goal-oriented elements. Here, a behavioral motivation is the internal condition that activates a goal-oriented behavior. In addition, a robot must be able to execute sequential behaviors. We construct skill networks by using generated skills that make action selection feasible to accomplish a task. A robot can select sequential and a goal-oriented behaviors using the skill network. For this, we will first propose a method for modeling and learning Bayesian networks that are used to generate affordances. To select sequential and goal-oriented behaviors, we construct skills using affordances and soft behavioral motivation switches. We also propose a method to generate the skill networks using the skills to execute given tasks. Finally, we will propose action-selection-mechanism to select sequential and goal-oriented behaviors using the skill network. To demonstrate the validity of our proposed methods, "Searching-for-a-target-object", "Approaching-a-target-object", "Sniffing-a-target-object", and "Kicking-a-target-object" affordances have been learned with GENIBO (pet robot) based on the human teaching method. Some experiments have also been performed with GENIBO using the skills and the skill networks.