The development of optimized motions of humanoid robots that guarantee a fast and also stable walking is an important task especially in the context of autonomous soccer playing robots in RoboCup. We present a walking motion optimization approach for the humanoid robot prototype HR18 which is equipped with a low dimensional parameterized walking trajectory generator, joint motor controller and ...

The paper describes the automation of the shoe grinding process using an industrial robot. One of the major problems of flexible automation using industrial robots is how to avoid joint limitations, singular configuration and obstacles. This problem can be solved using kinematically redundant robots. Due to the circular shape of the grinding disc, the robot becomes kinematically redundant. This...

In this work we present a novel, inductance-based system to measure and control the motion of bellows-driven continuum joints in soft robots. The sensing system relies on coils of wire wrapped around the minor diameters of each bellows on the joint. As the bellows extend, these coils of wire become more distant, decreasing their mutual inductance. Measuring this change in mutual inductance allo...

We have been developing exoskeletal robots in order to assist the motion of physically weak persons such as elderly persons or handicapped persons. In our previous research, a prototype of a two degree of freedom exoskeletal robots for shoulder joint motion assist have been developed since the shoulder motion is especially important for people to take care of themselves in everyday life. In thi...

scheduling is an important subject of production and operations management area. in flow-shop scheduling, the objective is to obtain a sequence of jobs which when processed in a fixed order of machines, will optimize some well defined criteria. the concept of transportation time is very important in scheduling. transportation can be done by robots. in situations that robots are used to transpor...

Robots are gaining more attention in the neuroscientific community as means of verifying theoretical models of social skill development. In particular, humanoid robots which resemble dimensions of a child offer a controlled platform to simulate interactions between humans and infants. Such robots equipped with biologically inspired models of social and cognitive skill development might provide ...

This paper presents an approach to distributively approximate the continuous probability distribution that describes the fusion of sensor measurements from many networked robots. Each robot forms a weighted mixture of Gaussians to represent the measurement distribution of its local observation. From this mixture set, the robot then draws samples of Gaussian elements to enable the use of a conse...

Research in humanlike robotic arms will not only provide insight in how to make more realistic looking and behaving robots, but can also provide insight into the way that humans control their muscles. This information can then be applied in rehabilitation projects or in the development of prosthetics. Most current robots have joint-based actuators, instead of more humanlike systems with artific...