We extend simple models previously developed for humanoids to large push recovery. Using these simple models, we develop analytic decision surfaces that are functions of reference points, such as the center of mass and center of pressure, that predict whether or not a fall is inevitable. We explore three strategies for recovery: 1) using ankle…
patient compliance robot navigation emergence future vegetative state autonomous vehicles robots lethal robots trust mental states economic benefit rehabilitation philosophy of science robotic etiquette autonomous robots death decision making emotion social robots personified robots human rights service robot behavioral cues cloud robotics assitive technology consciousness computational linguistics robotics policies affect social attitudes socially assistive robots constraint satisfaction concept learning mathematics social interaction home care ontology sensing credit scoring morality Japan Turing test machine ethics neuropsychology neuroscience game theory human-robot interaction materials privacy models service robots engineering brain-computer interactions robot caregivers detection argumentation path planning medicine delivery medicine simulation navigation medical system elderly reactive behavior deliberative reasoning participatory design history Design elder care algorithm stereotype autonomy formal methods manipulation planning social justice EEG sociology human intelligence hybrid control health care artificial intelligence legal issues context-free grammar drones dynamics robot architecture threats robot safety theory of mind economic impact machine morality machine learning discrimination man-machine systems social aspects of automation adaptive systems robot behavior safety ethics cybernetics miltary doctrine human-machine interactions autonomous robot warfare robot companion actuation robot ethics motion grammar computation war control autonomous weapons healthcare coordination representation empathy body gestures fairness case-based reasoning search and rescue killer robots psychology diagnostic robots privacy issues
Human-robot teaming for search and rescue
This work establishes an architecture for Urban Search and Rescue and a methodology for mixing real-world and simulation-based testing. A sensor suite and sensor fusion algorithm for robust victim detection permits aggregation of sensor readings from various sensors on multiple robots.
A history of automatic control
Automatic control, particularly the application of feedback, has been fundamental to the devel- opment of automation. Its origins lie in the level control, water clocks, and pneumatics/hydraulics of the ancient world. From the 17th century on- wards, systems were designed for temperature control, the mechanical control of mills, and the regulation of steam engines. During…
A Computational Model of Empathy: Empirical Evaluation
Empathy can be defined as the ability to perceive and understand others' emotional states. Neuropsychological evidence has shown that humans empathize with each other to different degrees depending on factors such as their mood, personality, and social relationships. Although artificial agents have been endowed with features such as affect, personality, and the ability to build…
A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents
Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational…
AIonAI: A Humanitarian Law of Artificial Intelligence and Robotics
The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibility of rational and sentient robots. The ethics and morals deriving from this technological prospect have been considered in the philosophy of artificial intelligence, the design of automatons with roboethics and the contemplation of machine ethics through the concept of artificial moral agents. Across…
A User-Centric Design of Service Robot Speech Interfaces for the Elderly
The elderly population in Europe has increased quickly and will keep growing in the coming years. In facing the elder care challenges posed by the amount of seniors staying alone in their own homes, great efforts have been made to develop advanced robotic systems that can operate in intelligent environments, and to enable robots to…
Architectures and Ethics for Robots
The goal of this chapter is to propose constraint satisfaction as a central design concept for intelligent robots. Some proposals for codes of robot ethics apparently presuppose the existence of certain technical abilities on behalf of the robot designer that, simply put, do not yet exist. Namely, given current robot design techniques, it is usually…
Bedside detection of awareness in the vegetative state: A cohort study
Despite rigorous clinical assessment, many patients in the vegetative state are misdiagnosed. The EEG method that we developed is cheap, portable, widely available, and objective. It could allow for the rediagnosis of patients who, behaviourally, seem to be entirely vegetative, but who might have residual cognitive function and conscious awareness.
Comfort estimation during lift-up using nursing-care robot—RIBA
In our research center, we have developed a nursing-care assistant robot - RIBA - which can lift up and transfer persons between bed and wheelchair using its two human-like arms. In this research, we develop a new method to estimate comfort, which can help our robot - RIBA - to find the best lifting-up motion…
Concept learning as motor program induction: A large-scale empirical study
Human concept learning is particularly impressive in two respects: the internal structure of concepts can be representationally rich, and yet the very same concepts can also be learned from just a few examples. Several decades of research have dramatically advanced our understanding of these two aspects of concepts. While the richness and speed of concept…
Decoding mental states from brain activity in humans
Recent advances in human neuroimaging have shown that it is possible to accurately decode a person’s conscious experience based only on non-invasive measurements of their brain activity. Such brain reading has mostly been studied in the domain of visual perception, where it helps reveal the way in which individual experiences are encoded in the human…
Effects of etiquette strategy on human–robot interaction in a simulated medicine delivery task
The objective of this study was to examine the extent to which a model of linguistic etiquette in human–human interaction could be applied to the human–robot interaction (HRI) domain, and how different etiquette strategies proposed through the model might influence performance of humans and robots as mediated by manipulations of robot physical features in a…
Enabling Global Robot Navigation Based on a Cloud Robotics Approach
In the future, social robots will permeate our daily lives. An autonomous robot that has to move among different buildings needs to manage a huge amount of data, and as a consequence it is clear that the configuration of the navigation system becomes hard to manage. This paper presents a system, based on a cloud…
Human-level concept learning through probabilistic program induction
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer ways than conventional algorithms—for action, imagination, and explanation. We present a computational model that captures these human learning…