Juhani Viitaniemi

Safety of Interactive Robotics—Learning from Accidents

Finland is ranked rather high in international robot density statistics. In Finland, robots are typically used in applications where they operate in close proximity to humans. The research described in this paper, sourced from Finnish databases, identified 25 severe accidents which can be attributed to robots. The current accident data can provide an insight into the type of accidents associated with future human-robot interaction (HRI) applications. Accident statistics indicate that most of the severe robot-related accidents involved crushing a person against a rigid object. As crushing hazards currently dominate accident statistics, and with HRI applications becoming increasingly common, humans are expected to be exposed to more crushing hazards in the future. The close proximity of the robots means that there is very little time to escape from crushing hazard. The prevention of collisions between robots and humans is paramount to reducing the amount of accidents. Actions to diminish the effects of any subsequent collision are also important. The control after a collision, however, needs to be very quick in order to minimise the damage caused by an impact. Current practice demands that upon detection of a collision, active movements are typically not allowed without a human supervision. Moving a robot away to a safe position and releasing any pressure against a person may save lives, but would entail some adjustments or new interpretations of the current safety requirements.

Linking ergonomics simulation to production process development

Production development can conflict with production ergonomics and management of environmental impacts. In this paper, we describe how ergonomics can be assessed in production system design by means of a joint simulation tool. The tool enables ergonomics and environmental impacts assessment in conjunction with production process development. The ergonomics sub-tool is based on a digital human model, which has been improved by introducing an updated data measurement system and neural network processing and inference functionality. The results will extend the new simulation modelling capabilities of the existing digital human model by increasing the motion prediction accuracy and providing freedom to model a multitude of task-related motions in a realistic way.

Digital human model based participatory design method to improve work tasks and workplaces

The objective of this research project was to improve manual work tasks and workplace design with a new digital human model based design method. The idea of the method was to make the design and analyze of work and workplaces easy for floor level development case. It also should to be exploitable in the context of participatory design approach. The developed method was implemented on a production design simulation platform. It was designed to be used in design of human factors, performance and functionality of a production concurrently. The implemented tool includes basic human motions which exploit real human motion data, effective work design features to easily generate variational solutions, embedded ergonomic analyses and checklists to help analyzing different work environment solutions, and to document the design outcome. Four industrial case studies were completed with the tool. The results show that the tool is feasible for individual and group design work, and has positive impacts on the design process and on the way how individuals can influence on her or his future work in production system.

Demonstration: VR-HYPERSPACE — The innovative use of virtual reality to increase comfort by changing the perception of self and space

Our vision is that regardless of future variations in the interior of airplane cabins, we can utilize ever-advancing state-of-the-art virtual and mixed reality technologies with the latest research in neuroscience and psychology to achieve high levels of comfort for passengers. Current surveys on passengers experience during air travel reveal that they are least satisfied with the amount and effectiveness of their personal space, and their ability to work, sleep or rest. Moreover, considering current trends it is likely that the amount of available space is likely to decrease and therefore the passengers physical comfort during a flight is likely to worsen significantly. Therefore, the main challenge is to enable the passengers to maintain a high level of comfort and satisfaction while being placed in a restricted physical space.

Improving Safety and Dependability by Enhancing the Availability of Product Specific Information

In order to maintain the safety and dependability of modern and complex technical systems over their entire life cycle, continuous availability of information is of crucial importance. This paper deals with a new safety and dependability information system concept. The concept aims for better availability and utilisation of product specific safety and dependability information. Thus, it also supports decision making in the daily operations at companies. The focus of this paper is to describe one part of the information system concept, i.e. a prototype of the smart transponder. This transponder allows the identification of a machine combined with archiving, storing and updating functions, especially for safety and dependability data and knowledge. The prototype is expected, after some further refinement, to fulfil the need for the continuous availability of safety and dependability information during the entire life cycle of machines.

Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces

Gesture-based interfaces are becoming a widely used interaction modality in many industrial applications. Therefore, it is important to guarantee usable and ergonomic interfaces for workers. The purpose of this study was to investigate whether the use of digital human models (DHMs) by human factors/ergonomics (HFE) experts can complement the user evaluation of gesture interface prototypes. Two case studies were conducted, in which gesture-based systems for remote robot control were evaluated. The results indicate that the use of DHMs supports the findings from self-reported HFE evaluations. However, digital human modeling still has some limitations. For example, in this study, it was not possible to evaluate small muscle groups (e.g. fingers). We argue that adaptation of the DHMs could be a rapid and simple alternative for supporting the HFE design of gestures.