On Climbing Winding Stairs in an Open Mode for a New Robotic Wheelchair

This paper presents the mechanical design, locomotion and associated dynamic models of a new robotic wheelchair on climbing winding stairs. The prototype stair-climbing robotic wheelchair is constructed comprising a pair of rotational multi-limbed structures pivotally mounted on opposite sides of a support base so that the robotic wheelchair can ascend and descend stairs; in particular, the capability of climbing winding stairs is addressed. Based on the skid-steering analysis, the dynamic models for climbing winding stairs are developed for the trajectory planning and motion analyses. These models are required to ensure a passenger's safety in such a way that the robotic wheelchair is operated in an open mode. Moreover, an equivalent constraint method is proposed for the prescribed motion of the robotic wheelchair on climbing winding stairs. The results of the simulation and maneuver are reported that show the behavior of the prototype as it climbs winding stairs in a dynamic turning.     

Design and realization of a mobile wheelchair robot for all terrains

A novel design of a mobile wheelchair robot for all terrains, especially for staircases and inclines, is proposed. Toachieve the required locomotion, a pair of multi-limbed structures, comprised of a lift coxae, rotation femurs and support tibiae, are pivotally mounted on the opposite sides of the body and actuated to rotate through epicyclic gear trains. A dual-footing mode with a set of wheel and crawler tractors in each support tibia permits the locomotion mode depending on various terrains, and hence the mobile wheelchair robot can navigate on a flat surface, and climb up and down stairs or inclines with its body kept horizontal. The implemented design is verified experimentally using our first manufactured prototype mobile wheelchair robot and it is shown that it could be suitable for applications to wheelchairs or others.     

Development of a stair-climbing mobile robot with legs and wheels

This paper deals with the development of a stair-climbing mobile robot with legs and wheels. The main technical issues in developing this type of robot are the stability and speed of the robot while climbing stairs. The robot has two wheels in the front of the body to support its weight when it moves on flat terrain, and it also has arms between the wheels to hook onto the tread of stairs. There are two pairs of legs in the rear of the body. Using not only the rorational torque of the arms and the wheels, but also the force of the legs, the robot goes up and down stairs. It measures the size of stairs when going up and down the first step, and therefore the measurement process does not cause this robot to lose any time. The computer which controls the motion of the robot needs no complicated calculations as other legged robots do. The mechanism of this robot and the control algorithm are described in this paper. This robot will be developed as a wheelchair with a stair climbing mechanism for disabled and elderly people in the near future. This work was presented, in part, at the International Symposium on Artificial Life and Robotics, Oita, Japan, February 18–20, 1996     

Planar legged walking of a passive-spine hexapod robot

This paper proposes a new legged walking method for a novel passive-spine hexapod robot. This robot consists of several body segments connected by passive body joints. Each of the body segments carries two 1-DoF (degree of freedom) actuated legs. The robot is capable of achieving planar legged walking by rapidly abducting and adducting its legs. To model the mobility of a robot based on this simple design, the candidate configurations from all possible configurations are first selected in a mobility analysis of the robot based on the screw theory. All the feasible sequences of these candidate configurations are then searched to form planar locomotion gaits. Next, locomotive performance of the gaits is analyzed. Finally, the proposed locomotion design and gait planning methods are verified through simulations and experiments.     

Optimal Design of a New Wheeled Mobile Robot Based on a Kinetic Analysis of the Stair Climbing States

In this paper, we propose a new wheeled mobile robot (WMR) with a passive linkage-type locomotive mechanism that allows the WMR to adapt passively to rough terrain and climb up stairs, making it ideal for applications such as building inspection, building security, and military reconnaissance. A simple four-bar linkage mechanism and a limited pin joint are proposed after considering two design needs: adaptability and passivity. To improve the WMR’s ability to climb stairs, we divided the stair-climbing motion into several stages, taking into consideration the status of the points of contact between the driving wheels and the step. For each of the suggested stages, a kinetic analysis was accomplished and validated using the multi-body dynamic analysis software package ADAMS. The object functions are presented for the stages that influence the WMR’s ability to climb stairs. The optimization of the object functions is carried out using the multi-objective optimization method.     

Optimal design of a stair-climbing mobile robot with flip mechanism

Stairs overcoming is a primary challenge for mobile robots moving in human environments, and the contradiction between the portability and the adaptability of stair climbing robot is not well resolved. In this paper, we present an optimal design of a flip-type mobile robot in order to improve the adaptability as well as stability while climbing stairs. The kinematic constraints on the flip mechanism are derived to prevent undesired interferences among stairs, wheels and main body during climbing stairs. The objective function is proposed according to the traction demand of the robot during stair-climbing motion for the first time and the value of the objective function is calculated though kinetic analysis. The Taguchi method is using as the optimization tool because of its simplicity and cost-effectiveness both in formulating an objective function and in satisfying multiple constraints simultaneously. The performance of the robot under the optimal parameters is verified through simulations and experiments.     

Active tension optimal control for WT wheelchair robot by using a novel control law for holonomic or nonholonomic systems

The characteristics of interaction between WT wheelchair robot and stair environments is analyzed and possible patterns of WT wheelchair robot during the stair-climbing process are summarized, with criteria to determine the pattern of the wheelchair robot proposed. Aiming at the complicated mechanism of WT wheelchair robot with holonomic constraints and combining it with the dynamic programming, namely the Hamilton-Jacobi equation, a new control law called active tension optimal control is presented for holonomic or nonholonomic robotic systems, based on which one can make the wheelchair robot with a holonomic or nonholonomic mechanism track the expected reference input of constraint forces of holonomic or nonholinomic constraints as well as track the expected reference input of the generalized coordinate of each joint. The module STATEFLOW in MATLAB is used to simulate the entire stair-climbing process of WT wheelchair robot, and comparison is made between the output curves of each joint and the tension of the track and the expected reference input curves, which verifies the effectiveness of the proposed control law.     

Robust pseudo virtual passive dynamic walking with control of swing-leg retraction

This paper proposes a simplified method of underactuated virtual passive dynamic walking without having any singularities in the control input, which is termed as the pseudo virtual passive dynamic walking (PVPDW), and analyzes the gait properties considering quasiconstraint on the impact posture. First, we introduce a planar underactuated biped model that added an upper body by means of a bisecting hip mechanism and formulate the method of PVPDW based on the concept of pseudo center of mass. Second, we introduce a control law for inhibiting swing-leg retraction and analyze the effect on the gait stability. The simulation results show that falling down as a 1-DOF rigid body dramatically increases the stable domain even though the hip angle at impact is not precisely kept constant. Finally, we discuss the mechanism from the energy-loss coefficient point of view.     

Dynamic modeling and step-climbing analysis of a two-wheeled stair-climbing inverted pendulum robot

ABSTRACT

In this study, the control of a two-wheeled stair-climbing inverted pendulum robot and its climbing motion are analyzed and discussed. The robot adopts a state-feedback controller with a feed-forward constant to stabilize the body and achieve step-climbing motion. The control parameter is considered based on the dynamic model motion on a flat surface and the static model of motion on the step. For climbing stairs with a narrow step tread, a constant torque is applied to reduce the space required for recovering the body stability after climbing. The stability of the robot is numerically analyzed by analyzing the orbital stability of its limit cycle. The stability analysis shows that the control method can achieve a stable stair-climbing motion. The effectiveness of the control method is demonstrated through an experiment. The result indicates that the robot can climb the stairs, and the required time for climbing a single step is approximately 1.8?s.     

The effects of container design and stair climbing on maximal acceptable lift weight, wrist posture, psychophysical, and physiological responses in wafer-handling tasks

Despite the high level of automation in semiconductor manufacturing processes, many manual operations are still involved in the workplace. Due to inadequate human–machine interface design, stairs are frequently used to help operators perform wafer-handling tasks. This study was designed to evaluate the effects of climbing stairs and carrying wafer containers (pods) on psychophysical responses (maximal acceptable weight of lift—MAWL, and ratings of perceived exertion—RPE), physiological responses (oxygen consumption—VO₂, and heart rate—HR), and wrist posture (ulnar and radial deviations). Each of 12 subjects (six males and six females) performed six sessions (3 climbing stairs×2 pods types). The results indicate that climbing stairs had a significant influence on MAWL and VO₂ (p<0.01). The type of pod effect on wrist posture was significant (p<0.01). Gender effect differences on MAWL, VO₂ and wrist posture were also significant (p<0.05). Job design implications are discussed.     

Development of a novel crawler mechanism with polymorphic locomotion

The design of a novel crawler mechanism with polymorphic locomotion is presented in this paper. The proposed mechanism, which is equipped with a planetary gear reducer, provides two kinds of outputs in different form only using one actuator. By determining the reduction ratio of two outputs in a suitable proportion, the crawler mechanism is capable of switching between two locomotion modes autonomously according to terrain. Using this property, robots equipped with the crawler mechanism can perform more efficient and adaptable locomotion or posture in irregular environments. Experimental tests showed that the developed crawler-driven module equipped with the proposed crawler mechanism cannot only move on moderately rugged terrain, but also perform a particular locomotion mode to negotiate high obstacles or adapt to different terrains without any sensors for distinguishing obstacles or any extra actuators or mechanisms for assistance.     

Double-track mobile robot for hazardous environment applications

This paper introduces a link-type tracked vehicle, which is developed for potential applications such as fire fighting, handicapped assistance and mine detection in various hazardous environments. The vehicle consists of three parts—front frame, rear frame and body. The front frame is connected to the rear frame by a rotational passive adaptation mechanism, which is the driving mechanism of the vehicle. This is similar to a link structure such that one frame rotates to the other by external forces between the vehicle and the ground. This passive adaptation mechanism permits good adaptability to uneven terrain including stairs. This link structure also improves energy efficiency, and makes the vehicle simple and small. The body is a control system for remote control of the vehicle. It communicates visual and distance information to the operator, and commands direction and velocity orders.     

A Highly-Maneuverable Demining Autonomous Robot: an Over-Actuated Design

Based on the well-known advantages of using an over-actuated mechanism for robots, this research proposes a holonomic highly-maneuverable autonomous robot design for demining service applications. The proposed approach provides an interesting compromise between the design requirements of the demining robot applications and the over-actuated autonomous robots. The robot body is mainly divided into two parts: the first part provides the robot with its required locomotion and it consists of a driving/steering subsystem with four driving wheels (4WD), four steering mechanisms (4SW), and a passive suspension subsystem. The second part is a manipulator with three degrees of freedom that is designed based on two parallelogram mechanisms. The proposed design insures many advantages over existing designs, including stability, maneuverability, autonomous navigation, and simplicity of the control effort constraints. The robot model and its corresponding stability analysis were conducted and simulated in order to evaluate the motion of the robot over different environments rough terrains and slanted surfaces. Moreover, a prototype of the proposed robot was developed and built and different types of sensors were used in order to help it take precise actuation decisions for navigation and control. The prototype was experimentally tested for different scenarios and environments in order to validate the proposed design. The testing results demonstrated decent performance of the robot in autonomous navigation and in localizing the detected objects.     

变形履带轮椅机器人的张紧力最优估计和越障能力分析

针对一种新型变形履带机构的轮椅机器人,提出了一种动态确定履带张紧力大小的最优估计算法． 相对于传统的恒定张紧力履带式移动机构,动态确定张紧力显著地降低了功率损耗． 考虑到张紧力的建模复杂性,文中采用模糊决策算法,将影响张紧力的主要因素输入模糊决策模块． 然后结合最小二乘法得到履带张紧力的最优估计算法． 鉴于轮椅机器人越障过程中移动速度较慢的特点, 结合张紧力最优估计算法结果对轮椅机器人上楼梯起始阶段进行了静力学建模． 仿真结果证明了利用张紧力估计算法的越障轮椅机构能够平稳爬楼梯, 同时也表明了动态张紧力算法大大降低了驱动功率损耗．     

Training Effects of Stair-Climbing During Office Hours on Female Employees

The feasibility of increased stair-climbing during office hours and the resulting training effects were evaluated in volunteer female subjects (mean age 30-8 yrs). Subjects were divided into exercise (stair-climbing) and control (lift-riding) groups. 59 females climbed stairs for 12 weeks and 26 females for 24 weeks. The mean number of floors climbed was 65 floors week^?1. Daily stair-climbing consisted of 2-4 sessions, each about one minute in duration, the peak loads corresponding to about 70% of V_02max Stair-using activity was independent of age. body weight and V_02max at entry.

Following 12 weeks of stair-climbing the only statistically significant change was a decrease in Ratings of Perceived Exertion (RPE) during the stair-climbing lest in the exercise group. After 24 weeks a statistically significant decrease was further observed in RPE. The mean change in predicted V_02max + 4·8% in older and +6·3% in less fit subjects was statistically significant in the exercise group compared to control group. An increase in body weight was measured after 12 weeks but there was a decrease compared to the baseline after 24 weeks. The decrease of total skinfold index was greater after 24 weeks compared to 12 weeks stair-climbing.

A higher activity level during office hours proved to be feasible for female subjects. There were no reports of medical care being required during increased stair-climbing. It is concluded that stair-climbing can be utilized as an office training programme For middle aged and less fit female subjects, but, for more dramatic changes, more than 13 floors/work day must be climbed. Recommendations for a stair-climbing training programme are given.     

利用多源信息和极限学习机的人体运动意图识别

快速准确的步态识别是实现智能假肢灵活控制的基础与前提,步态(平地行走、上下楼梯和上下坡)的有效识别是关键.为了克服由单一信息源无法辨识复杂多步态的难题,搭建人体步态多源运动信息系统获取髋关节角度信号、加速度信号和足底压力信号,利用足底压力信号将人体步态划分为4个片段,并根据人体步态的特点确定了4个片段下髋关节角度、髋关节加速度信号的特征值,采用核主成分分析(KPCA)对原始特征的组合进行融合,得到信息互补的特征值,最后利用极限学习机(ELM)进行识别,实验结果表明该方法对平地行走、上楼、下楼、上坡、下坡5种步态的平均识别率达到96.78％,平均识别时间0.52 s,明显高于BP、支持向量机(SVM)等方法.     

A biomechanical and ergonomic evaluation of patient transferring tasks: wheelchair to shower chair and shower chair to wheelchair.

A laboratory study was conducted to evaluate five different manual techniques (two-person manual lifting; rocking and pulling the patient using a gait belt with two persons; walking belt with one and two persons) and three different mechanical hoists (Hoyer lift, Trans-Aid and Ambulift) for transferring patients from wheelchair to shower chair and shower chair to wheelchair. Six female nursing students with prior patient transfer experience served both as nurses and as passive patients. Static biomechanical evaluation showed that the mean trunk flexion moments, erector spinae muscle forces and compressive and shear forces at the L5S1 disc for the four pulling methods ranged from 92 to 125 Nm, 1845 to 2507 N, 1973 to 2641 N and 442 to 580 N, respectively, as compared to about 213 Nm, 4260 N, 5050 N and 926 N for two-person manual lifting. Perceived stress ratings for the shoulder, upper back, lower back and whole body were significantly lower for pulling methods than those for lifting the patient (p less than or equal to 0.01). Patients found pulling techniques, except the gait belt, to be more comfortable and secure than the lifting method (p less than or equal to 0.01). However, most of the nurses believed that Medesign and the one-person walking belt would not work on those patients who cannot bear weight and those who are heavy, contracted or combative. A two-person walking belt was the most preferred method. Two out of three hoists (Hoyer lift and Trans-Aid) were perceived by the nurses to be more stressful than one- and two-person walking belts. The patients found these two hoists to be more uncomfortable and less secure than with three of the five manual methods (one- and two-person walking belts and Medesign). Pulling techniques and hoists took significantly longer amounts of time to make the transfer than manually lifting the patient (p less than or equal to 0.01). The two-person walking belt, using a gentle rocking motion to utilize momentum and a pulling technique, and Ambulift are recommended for transferring patients from wheelchair to shower chair and shower chair to wheelchair.     

Study on mobile mechanism of a climbing robot for stair cleaning: a translational locomotion mechanism and turning motion

In human living environments, it is often the case that the cleaning area is three-dimensional space such as a high-rise building. An autonomous cleaning robot is proposed so as to move on all floors including stairs in a building. When a robot cleans in three-dimensional space, it needs to turn for direction in addition to climb down stairs. The proposed robot selects movement using legs or wheels depending on stairs or flat surfaces. In this paper, a mobile mechanism and a control method are described for translational locomotion. The translational mechanism is based on using two-wheel-drive type omni-directional mobile mechanism. To recognize a stair using the position-sensitive detector, the robot shifts from translational locomotion to climbing down motion or edge-following motion. It is shown that the proposed robot turns to face a stair with the accuracy of 5°.     

Real‐time horse gait synthesis

Horse locomotion exhibits rich variations in gaits and styles. Although there have been many approaches proposed for animating quadrupeds, there is not much research on synthesizing horse locomotion. In this paper, we present a horse locomotion synthesis approach. A user can arbitrarily change a horse's moving speed and direction, and our system would automatically adjust the horse's motion to fulfill the user's commands. At preprocessing, we manually capture horse locomotion data from Eadweard Muybridge's famous photographs of animal locomotion and expand the captured motion database to various speeds for each gait. At runtime, our approach automatically changes gaits based on speed, synthesizes the horse's root trajectory, and adjusts its body orientation based on the horse's turning direction. We propose an asynchronous time warping approach to handle gait transition, which is critical for generating realistic and controllable horse locomotion. Our experiments demonstrate that our system can produce smooth, rich, and controllable horse locomotion in real time. Copyright © 2012 John Wiley & Sons, Ltd.