22,060 research outputs found
Considering the anchoring problem in robotic intelligent bin picking
Random Bin Picking means the selection by a robot of a particular item from a container (or bin) in which there are many items randomly distributed. Generalist robots and the Anchoring Problem should be considered if we want to provide a more general solution, since users want that it works with different type of items that are not known 'a priori'. Therefore, we are working on an approach in which robot learning and human-robot interaction are used to anchor control primitives and robot skills to objects and action symbols while the robot system is running, but we are limiting the scope to the packaging domain. In this paper we explain how to use our system to do anchoring in Robotic Bin Picking.Peer ReviewedPostprint (author's final draft
Bounded Rationality and Heuristics in Humans and in Artificial Cognitive Systems
In this paper I will present an analysis of the impact that the notion of âbounded rationalityâ,
introduced by Herbert Simon in his book âAdministrative Behaviorâ, produced in the
field of Artificial Intelligence (AI). In particular, by focusing on the field of Automated
Decision Making (ADM), I will show how the introduction of the cognitive dimension into
the study of choice of a rational (natural) agent, indirectly determined - in the AI field - the
development of a line of research aiming at the realisation of artificial systems whose decisions
are based on the adoption of powerful shortcut strategies (known as heuristics) based
on âsatisficingâ - i.e. non optimal - solutions to problem solving. I will show how the
âheuristic approachâ to problem solving allowed, in AI, to face problems of combinatorial
complexity in real-life situations and still represents an important strategy for the design
and implementation of intelligent systems
Spatial context-aware person-following for a domestic robot
Domestic robots are in the focus of research in
terms of service providers in households and even as robotic
companion that share the living space with humans. A major
capability of mobile domestic robots that is joint exploration
of space. One challenge to deal with this task is how could we
let the robots move in space in reasonable, socially acceptable
ways so that it will support interaction and communication
as a part of the joint exploration. As a step towards this
challenge, we have developed a context-aware following behav-
ior considering these social aspects and applied these together
with a multi-modal person-tracking method to switch between
three basic following approaches, namely direction-following,
path-following and parallel-following. These are derived from
the observation of human-human following schemes and are
activated depending on the current spatial context (e.g. free
space) and the relative position of the interacting human.
A combination of the elementary behaviors is performed in
real time with our mobile robot in different environments.
First experimental results are provided to demonstrate the
practicability of the proposed approach
Physics as a Mechanism for Including ELLs in Classroom Discourse
English Language Learners (ELLs) are frequently left on the periphery of
classroom interactions. Due to misalignment of language skills, teachers and
peers communicate with these students less often, decreasing the number of
opportunities to engage. Exclusion can be avoided with learning activities that
invite all students to participate and contribute ideas. We argue that
environments and activities that privilege scientific inductive reasoning
increase possibilities for emerging bilingual students to engage. This study
investigated first-grade students' discussions about factors that affect how
objects float. Students came from a variety of language backgrounds; all were
considered beginner/intermediate ELLs. Results show that the goal of inducing
principles from actual phenomena encouraged students to communicate their ideas
and reasoning, boosting students' confidence in expressing themselves.
Following the hybrid space argument of Vygotsky's theory of concept formation,
we illustrate that physics can be particularly suitable context for the
co-development of concepts and English language skills.Comment: 4 Pages; Physics Education Research Conference Proceedings - 2013,
Portland O
Authority and experience
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