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We present an advanced approach towards a semi-autonomous, robotic personal assistant for handicapped people. We developed a multi-functional hybrid brain-robot interface that provides a communication channel between humans and a state-of-the-art humanoid robot, Honda's Humanoid Research Robot. Using cortical signals, recorded, processed and translated by an EEG-based brain-machine interface (BMI),...
Recently, the need of users is changing to the efficient quality of functions with the sophisticated design and reasonable price. Furthermore, current users prefer to the personal customization of products. Accordingly, a design support system is useful and helpful for non-expert people to design products easily, but such non-expert people might take much time and load in the product design. Therefore,...
Performing general human behavior by experts' navigation is expected to be realized as wearable and ubiquitous technologies and computing develop. For simple, ordinary behavior, a person does not need the assistance of an expert. However, if one is standing next to an injured/ill person, one needs the instruction on performing first aid treatment from an expert. The wearer of the wearable behavior...
The unique ability of humanoid robots to step over or upon obstacles is left unexploited if ordinary mobile robot navigation strategies are used for humanoids as well. Recently presented path planning strategies that make use of this capability, however, are very time consuming due to high computational complexity. We have presented a novel approach to humanoid robot footstep planning in obstacle...
We present a method for interactively guiding the navigation of a humanoid robot through complex terrain via an intuitive path-drawing interface. In contrast to full autonomy or direct teleoperation of the robot, the user suggests an overall global navigation route by ??drawing?? a path onto the environment while the robot is walking. The path is used by a footstep planner that searches online for...
Performance of robots in human robot teams has always been a topic of interest for many researchers in human robot interaction community. Traditionally adopted Crandall's model for performance measurements assume ideal conditions in which the operator switches control between robots sequentially based on acceptable performance level ignoring any false alarms due to erroneous interactions. In this...
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