G. Biswas, T. Arai, and M. Iskarous
Vanderbilt University, Computer Science,
Box 1679 Station B, Nashville, TN 37235
Robotics and Autonomous Systems, Volume 18, Issues 1-2, pp. 141-148, July 1996.
Introduction.
The field of Biorobotics, and service robotics in particular is making
rapid advances [Schraft94]. The Intelligence group of the
Biorobotics Workshop held in Tsukuba, Japan in May, 1995 took on
the role of surveying the state of the art of intelligent systems as they
apply to service robotics, discussed the latest advances and needs for
the next generation of these systems, and then charted out a
roadmap for further development of intelligence in service robotics
into the next decade. The group of researchers and practitioners who
participated made brief presentations, and then discussed
issues, challenges, and tasks to define the next generation of service
robot systems. This report summarizes the different ideas within a
cohesive framework, and then presents a set of grand challenges that
are likely to govern research and development in the future.
Service robots are defined as adaptable, sensor-based
mechantronic devices that perform useful services for humans.
Kawamura et al. [Kawamura95] classify service robots between
industrial robots, such as welding and assembly machines, which
operate in well-defined, pre-programmed, structured environments, and
field robots, such as fully autonomous vehicles like the Mars
Rover, which often have to operate in dynamic, unknown, and
uncertain environments.
Unlike field robots, service robots are
designed to perform tasks in specific environments. Examples of
service robotics applications include assistance systems for the
disabled and handicapped, hospital patient aides, office automation
systems, and worker robots that assist humans in difficult and high
precision tasks. The very nature of the applications and the
important requirement of symbiosis with humans requires these
robots to perform in a semi-autonomous and interactive
framework. Furthermore, safety, efficiency, reliability, and the
ability to communicate, understand, learn, and adapt are key issues
that govern the successful implementation of such systems.
Along with sensory ability and control, intelligence, i.e., the
ability to reason about, understand, and solve problems, plays a key
role in the design and implementation of service robotics systems. A
first step in the group discussion was to identify primary features
for characterizing the concept of intelligence. These are discussed
briefly below.