From teleoperation to the cognitive human-robot interface

Robots are slowly moving from factories to mines, construction sites, public places and homes. This new type of robot or robotized working machine – field and service robots (FSR) – should be capable of performing different kinds of tasks in unstructured changing environments, not only among humans but through continuous interaction with humans. The main requirements for an FSR are mobility, advanced perception capabilities, high "intelligence" and easy interaction with humans. Although mobility and perception capabilities are no longer bottlenecks, they can nevertheless still be greatly improved. The main bottlenecks are intelligence and the human - robot interface (HRI). Despite huge efforts in "artificial intelligence" research, the robots and computers are still very "stupid" and there are no major advancements on the horizon. This emphasizes the importance of the HRI. In the subtasks, where high-level cognition or intelligence is needed, the robot has to ask for help from the operator. In addition to task commands and supervision, the HRI has to provide the possibility of exchanging information about the task and environment through continuous dialogue and even methods for direct teleoperation. The thesis describes the development from teleoperation to service robot interfaces and analyses the usability aspects of both teleoperation/telepresence systems and robot interfaces based on high-level cognitive interaction. The analogue in the development of teleoperation interfaces and HRIs is also pointed out. The teleoperation and telepresence interfaces are studied on the basis of a set of experiments in which the different enhancement-level telepresence systems were tested in different tasks of a driving type. The study is concluded by comparing the usability aspects and the feeling of presence in a telepresence system. HRIs are studied with an experimental service robot WorkPartner. Different kinds of direct teleoperation, dialogue and spatial information interfaces are presented and tested. The concepts of cognitive interface and common presence are presented. Finally, the usability aspects of a human service robot interface are discussed and evaluated.reviewe

The CLAWAR project

In Europe, there are two main thematic groups focusing on robotics, the Climbing and Walking Robots (CLAWAR) project (http://www.clawar.net) and the European Robotics Network (EURON) project (http://www.euron.org). The two networks are complementary: CLAWAR is industrially focused on the immediate needs, and EURON is focused more on blue skies research. This article presents the activities of the CLAWAR project

Autonomous Locomotion Mode Transition Simulation of a Track-legged Quadruped Robot Step Negotiation

Multi-modal locomotion (e.g. terrestrial, aerial, and aquatic) is gaining increasing interest in robotics research as it improves the robots environmental adaptability, locomotion versatility, and operational flexibility. Within the terrestrial multiple locomotion robots, the advantage of hybrid robots stems from their multiple (two or more) locomotion modes, among which robots can select from depending on the encountering terrain conditions. However, there are many challenges in improving the autonomy of the locomotion mode transition between their multiple locomotion modes. This work proposed a method to realize an autonomous locomotion mode transition of a track-legged quadruped robot steps negotiation. The autonomy of the decision-making process was realized by the proposed criterion to comparing energy performances of the rolling and walking locomotion modes. Two climbing gaits were proposed to achieve smooth steps negotiation behaviours for energy evaluation purposes. Simulations showed autonomous locomotion mode transitions were realized for negotiations of steps with different height. The proposed method is generic enough to be utilized to other hybrid robots after some pre-studies of their locomotion energy performances

The CLAWAR project

In Europe, there are two main thematic groups focusing on robotics, the Climbing and Walking Robots (CLAWAR) project (http://www.clawar.net) and the European Robotics Network (EURON) project (http://www.euron.org). The two networks are complementary: CLAWAR is industrially focused on the immediate needs, and EURON is focused more on blue skies research. This article presents the activities of the CLAWAR project

Affordance-based task communication methods for astronaut-robot cooperation

The problem with current human-robot task communication is that robots cannot understand complex human speech utterances, while humans cannot efficiently use the fixed task request utterances required by robots. Nonetheless, future planetary exploration missions are expected to require astronauts on extra-vehicular activities to communicate task requests to robot assistants with speech- and gesture-type user interfaces that can be easily embedded in their space suits. The solution proposed in this thesis is indirect task communication based on the human-like ability to utilise object-action relationships in task communication. Conventional task communication methods, in which all task parameters need to be communicated explicitly, are evaluated against task communication methods where affordances, i.e. action possibilities, are used to complete task communication. These so-called affordance-based task communication methods are evaluated by means of four user experiments: two performed with a fully autonomous centauroid robot in a planetary exploration work context and two with a simulated robot in a lander assembly work context. The first two experiments are performed in unambiguous work environments, where each object is associated with only one action and vice versa, while the last two experiments are performed in ambiguous work environments, where each object and action is normally associated with several actions and objects, respectively. The user experiments show that affordance-based task communication methods can be used to decrease both the human workload and task communication times in a planetary exploration work context. Furthermore, affordance-based task communication methods are found to be preferred over conventional task communication methods. The affordance-based task communication methods derived can be applied to facilitate any human-robot task communication that includes a priori known or recurring task sequences. In this thesis, the feasibility of the approach was demonstrated for frame-based dialogue managers, which are widely used in robotics