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The purpose of this paper is to investigate the effect of time delay on the ability of a human operator to complete a task with a teleoperated mobile‐robot using two systems, two different ways of interacting with the mobile‐robots and several different environments.

Teleoperators are observed completing a series of tasks using a joystick to control a mobile‐robot while time delays are introduced to the system. They sit at a computer and view scenes remotely on a screen. Cameras are either mounted on the robot or mounted externally so that they view both the environment and robot. Teleoperators complete the tests both with and without sensors. One robot system uses an umbilical cable and one uses a radio link.

In simple environments, a teleoperator may perform better without a sensor system to assist them but as time delays are introduced then there are more failures. In more complicated environments or when time delays are longer, then teleoperators perform better with a sensor system to assist. Teleoperators may also tend to perform better with a radio link than with an umbilical connection.

Teleoperated systems rely heavily on visual feedback and experienced operators. This paper investigates the effect of introducing a delay to the delivery of that visual feedback.

The paper suggests that in simple environments with short time delays then the amount of sensor support should be small but in more complicated environments or with longer delays then more sensor support needs to be provided.

Results from imposing time delays on a teleoperated mobile‐robot are presented. Effects on the task of different ways of viewing activity on a computer display are presented, that is with cameras mounted on the robot or cameras mounted externally to view both the environment and robot. Results from using sensors to assist teleoperators are presented. The paper suggests that the amount of sensor support should be varied depending on circumstances.

The ability to appreciate the sensation of force and torque that is experienced by the slave device in a teleoperator system is essential for achieving remote manipulations such as assembly and disassembly, telesurgery, and remote handling of delicate and dangerous substances. This paper describes an intelligent teleoperator system that not only provides high quality force feedback information in teleoperation but also additional information about the contact formation between the slave device and the environment is presented to the operator. This paper also discusses the design of the teleoperator system and introduces its architecture. Experimental study using the developed teleoperator system is presented that highlights its performance in real life applications.

This paper recommends an improved design methodology for the slave half of teleoperator systems based on the notion of master‐slave symmetry. Traditional slaves consist of a conventional robot retrofitted with force‐torque sensors. The new methodology eliminates dependence on destabilizing force‐torque‐sensor schemes by augmenting existing master design methods with newly invented cable mechanisms. Design goals such as bandwidth, backdrivability, and force fidelity have been applied successfully to optimize design of the trajectory‐and‐force‐controllable Whole‐Arm Manipulation (WAM) robot. Although not yet used as the slave of a teleoperator system, the results from performance tests of the experimental WAM manipulator are promising. Finally, the authors suggest a new concept ‐ Whole‐Arm Haptics ‐ that is only possible with whole‐arm manipulation, where the user steers the kinematic redundancy directly. Whole‐Arm Haptics allow teleoperators to manipulate objects larger than the slave itself.

Robonaut is a humanoid robot designed by the Robotic Systems Technology Branch at NASA's Johnson Space Center in a collaborative effort with Defense Advanced Research Projects Agency. This paper describes the implementation of haptic feedback into Robonaut and Robosim, the computer simulation of Robotonaut. In the first experiment, we measured the effects of varying feedback to a teleoperator during a handrail grasp task. Second, we conducted a teleoperated task, inserting a flexible beam into an instrumented receptacle. In the third experiment, we used Robonaut to perform a two‐arm task where a compliant ball was translated in the robot's workspace. The experimental results are encouraging as the Dexterous Robotics Lab continues to implement force feedback into its teleoperator hardware architecture.

In this proof-of-concept study, the authors assessed the feasibility of using a humanoid robot controlled remotely via an immersive telepresence system to support a person with intellectual and motor disabilities performing a daily task (i.e. setting a table for lunch).

The system involved a head-mounted display and two joysticks. A teleoperator was able to see through the video cameras of the robot and deliver the instructions verbally to the participant located in a different room. To assess the system, a baseline phase (A) was followed by an intervention (i.e. tele-operated support) phase (B) and a return to a baseline phase (A).

Data showed a marked increase in the average frequency of task steps correctly performed from baseline (M = 15%) to intervention (M = 93%). Accuracy reached 100% in the return to baseline.

These preliminary findings, along with qualitative feedback from users, suggest that an immersive telepresence system may be used to provide remote support to people with intellectual and motor disabilities.

This paper aims to make an industrial robot intelligently and remotely cooperate with humans to work in unknown unstructured environments.

Presents a bilateral adaptive teleoperation control approach involving a contact force driven compensation with an auto‐switching function, which utilizes a biologically motivated compliance function. Based on sensed contact force, the switching function can adjust its slave control input to decide how much robotic intelligences should intervene in the system by switching modes. Other schemes for robotic intelligence, robotic impedances and compensators, are investigated to guarantee good transparency without warranting human error and maintain a stable contact, based on the force feedback, in constrained motion while a communication delay exists.

The simulation and experimental results demonstrate transparency and contact stability in the presence of constant and time‐varying communication delays, respectively. The proposed bilateral adaptive teleoperation control method outperforms three other techniques.

This paper introduces an adaptive teleoperation control method with local robotic intelligence assistance. The developed method does not modify the existing designs of industrial robots. The contact force and position and force errors are well controlled to obtain a stable contact and transparency, through adaptation of robotic impedances.

Looks at research work into crane automation for the construction industry. Describes the six major areas of the project: analysis of existing crane structures and mechanisms, the general problem of remotely grabbing a load, the application of latest sensor technology, system integration, control and communications, teleoperator and data‐logging system and crane demonstrator construction. Also considers the use of advanced telemetry for communication between cranes and for the remote control operation of the cranes. Concludes that the project demonstrated that the emerging distributed control concepts are applicable to crane technology.

The potential of information and communication technology (ICT) in improving knowledge work productivity is well‐documented in the existing literature. However, prior research fails to provide means for analyzing whether the potential can be realized in a specific organizational context. Thus, this paper aims to focus on the context‐specific analysis of the impacts of ICT services on knowledge work.

This paper uses a literature review and a case study conducted in a medium‐sized European teleoperator company. The case study examines the measurement process for capturing the knowledge work productivity impacts produced by a new ICT service used by the company.

ICT can be used to eliminate non‐value‐adding tasks or to make them more efficient. ICT can also improve employee welfare, for example, through transforming the content of work by deleting unimportant activities. The empirical study showed that, contrary to the view presented in the prior literature, it does not seem that difficult to measure the impacts of ICT on knowledge work productivity. A key point in the measurement is identification of case‐specific impact factors by examining the characteristics of the ICT service and the organisational setting.

The results of the paper will be useful for managers studying the impacts of ICT investments in their organizations.

This paper contributes to the prior literature on ICT and knowledge work productivity by explaining how the impacts of ICT can be analysed in a given empirical context. The specific novelty value of the study lies in the new knowledge concerning the identification of the impact factors.