• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1665-1674
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• 2013

In this paper, we propose a genetic algorithm(GA) based locomotion method of a quadruped robot with waist joint, which makes a quadruped robot walk on the slop efficiently. In the proposed method, we first derive the kinematic model of a quadruped robot with waist joint and then set the gene and the fitness function for GA. In addition, we determine the best attitude for a quadruped robot and the landing point of a foot in the walk space, which has the optimal energy stability margin(ESM). Finally, we verify the effectiveness of the proposed method by comparing with the performance of the previous method through the computer simulations.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.4 s.97
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• pp.138-147
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• 1999

For autonomous navigation, a legged robot should be able to walk over irregular terrain and adapt itself to variation of supporting surface. Walking through slope is one of the typical tasks for such case. Robot needs not only to change foot trajectory but also to adjust its configuration to the slope angle for maintaining stability against gravity. This paper suggests such adaptation algorithm for stable walking which uses feedback of reaction forces at feet. Adjusting algorithm of foot trajectory was studied with the estimated angel of slope without visual feedback. A concept of virtual slope angle was introduced to adjust body configuration against slope change of the supporting terrain. Regeneration of foot trajectory also used this concept for maintaining its stable walking against unexpected landing point.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.617-623
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• 2012

In this paper, we propose a gait generation method for a quadruped robot to walk efficiently on the slope, which uses the waist joint of a quadruped robot. We derive the kinematic model of a quadruped robot with waist joint using the Denavit-Hartenberg representation method and the algebraic method. In addition, the gaits are generated based on the wave gait. In the proposed gait generation method, first in order to alleviate the mechanical restriction and the reduction of the stride, we determine the appropriate waist joint angle according to the slope degree, and then decide the location of the tiptoe of a quadruped robot by exploring the workspace. Finally, through computer simulations, we verify the effectiveness and applicability of the proposed method.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.4
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• pp.191-197
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• 2005

Biped walking is the main feature of a humanoid robot. In a biped walking robot, there are many actuators to be controlled and many sensors to be interfaced. In this paper, we propose a DSP-based controller for a miniature biped walking robot with 21 RC servo motors. The proposed controller has a hierarchical structure; a host PC, a DSP-based main controller, and an auxiliary controller with an FPGA chip. The host PC generates and transmits the robot walking data for given walking parameters such as stride, walking period, etc. The main controller implemented with a TMS320LF2407A controls 21 RC servo motors via the auxiliary controller. We also perform some experiments for balancing motion and walking on a slope terrain with interfacing a 2-axis acceleration sensor and a TMS320LF2407A.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1793-1794
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• 2008

본 연구는 다양한 환경에서의 인간형 로봇의 안정적인 보행을 하기위한 FSR (Force Sensing Resistor) 센서 기반의 보행패턴에 관한 전체 시스템의 설계와 이의 모의실험이다. 인간형 로봇의 안정적인 보행을 구현하기 위해서는 보행 패턴의 ZMP(Zero Moment Point) 궤적이 안정 영역 내에 위치하게 하여야 하고, 실제 보행 중에도 외부의 환경적인 요인과 내부의 제어 오차에 따라 보행패턴의 수정과 보완이 요구된다. 이에 FSR 센서를 적용하여 전체 인간형 로봇의 보행 시스템을 설계하고 안정적인 다양한 보행을 구현하기 위한 보행패턴을 제안한다. 이를 모의실험을 통해 평지, 계단, 경사면에 따른 보행 안정성을 검증한다. 차후 이러한 모의실험 결과를 보완하여 FSR 센서를 실제 인간형 로봇에 장착하고 실험하여 안정적인 보행을 구현할 계획이다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.2
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• pp.15-22
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• 2012

The mechanical system of wearable walking assist robot needs to be optimized for adapting with human body structure and the planned control algorithm should have a secure procedure when a incongruity situation which can cause musculoskeletal injury occurs because a wearable robot is attached to a body. The understanding of walking or musculoskeletal motions characteristics must be preceeded and analyzed for developing novel wearable walking assist robot. In this study we tried to find out the capacities of powers and torques of joint actuators to design optimized performances of system and to obtain the analysis data to figure out the characteristics of joint movements during some types of walk. The major types of walk and motion are stair climbing and descending, sit-to-stand motion, and slope walking. In this study all these motions were analyzed experimentally except slope walking.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1975-1976
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• 2006

이족 보행 로봇의 연구는 평지에서의 보행에 관한 연구가 주를 이루고 있다. 현재는 평지뿐만 아니라 비평지, 경사면, 계단 등과 같은 특수한 상황에서의 보행이 연구되고 있지만 대부분 여러 가지 제약조건이 뒤따르고 있다. 그래서 본 논문에서는 퍼지 시스템과 신경망을 이용하여 이러한 제약 조건을 극복하였다. 신경망을 이용하여 이족 보행 로봇의 보행궤적을 생성하였으며, 퍼지 시스템은 로봇의 자세제어를 하는데 이용되었다. 또한 이족 보행 로봇이 로봇 내부 및 외부의 상황을 스스로 인지하기 위해서 자이로, 압력센서, 적외선, 초음파 센서를 이용하였다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1829_1830
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• 2009

본 논문은 로봇이 처한 환경의 실시간 상황 인식을 위한 지능형 센서 인터페이스를 연구 개발하여 다양한 환경에서의 안정되고 유연한 이족 보행 로봇의 동적 보행 제어를 수행하였다. 자이로 및 가속도 센서를 적용한 실험을 통하여 간단한 보상만으로도 로봇의 안정도가 확연히 개선되는 사실을 알 수 있었다. 미지의 외력이 가해져 로봇이 불안정한 상태가 계속될 때 상체의 기울기 보정이 무게중심을 보다 안정된 영역쪽으로 이동시켜 곧바로 균형을 잡아준다. 또한 압력센서를 이용한 ZMP 측정과 이를 통한 균형 제어 실험 결과 뛰어난 보행을 구현할 수 있었다. 불규칙적인 지면에서도 발바닥에 가해지는 압력 분포가 변화하는 것을 이용하여 ZMP가 항상 로봇의 발바닥 지지 영역 안으로 오도록 제어하였다. 이것을 통해 로봇은 경사면을 보행하거나 기울기가 변하는 바닥에서 쓰러지지 않고 안정한 상태를 유지하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.1
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• pp.261-268
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• 2013

In this paper, we propose the algorithm that improves the linearity of the walking assistant robot on lateral slopes. The walking assistant robot goes out of the course due to the rotational moment which is caused by the weight of the robot and the slope. To compensate this, we give the weight to each driving axle after comparing the real rotational angular velocity with the target rotational angular velocity which is entered by an user. The results of applying the algorithm to the real walking assistant robot show that the yaw axis deviation of the robot without the algorithm diverges, but the yaw axis deviation of the robot with the algorithm lies within 20cm, which can be recognized as stable. In addition, the changing rate of the course deviation is stabilized and shows no more course deviation, after moving 300cm.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.59-64
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• 2005

In the paper, we propose an intelligent walking algorithm of biped robot on the uneven ground and a posture stabilization algorithm against external forces. At first, the mechanics and the control system of biped robot that can walk on the uneven ground and stand external forces are designed. We propose obstacle hurdling, incline walking. and going-up stairs algorithm by using infrared sensors and FSR sensors. Also, posture stabilization algorithm against external forces is designed using FSR sensors. Infrared sensors ate used to detect the obstacles in the working environment and FSR sensors are used to obtain the ZMP of biped robot. The developed biped robot can be controlled by the remote control system using vision system and RF module. The experimental results show that the biped robot Performs obstacle avoidance, obstacle hurdling, walking on the inclined plane, and going up stairs using the proposed walking and stabilization algorithm.