Type of company
Select company type
Select company status preset
Number of employees
Sheffield, United Kingdom
A platform-orientated approach that provides a reconfigurable, flexible, modular and expandable solution. Data Acquisition, Analysis, Insights and Condition Monitoring for Industry 4.0. Austin Consultants are experts in data acquisition, signal processing, control, and automated test solutions. We support you to gain new insights, optimise performance and accelerate innovation. We offer flexible application-focused engineering design, development, and integration services that fulfill your business and technical goals.
Austin Consultants | Solutions | Machine Learning & Artificial Intelligence
... Hidden Markov Model in ...
Cambridge, United States
The Personal Robots Group focuses on developing the principles, techniques, and technologies for personal robots. Cynthia Breazeal and her students conduct research that advances the state-of-the-art in socially intelligent robot partners that interact with humans to promote social and intellectual benefits, work alongside with humans as peers, learn from people as apprentices, and foster more engaging interaction between people. More recent work investigates the impact of long-term, personalized Human-Robot Interaction (HRI) applied to quality of life, health, creativity, communication, and educational goals. The ability of these robot systems to naturally interact, learn from, and effectively cooperate with people has been evaluated in numerous human subjects experiments, both inside the lab and in real-world environments.
Computational Trust Model – Personal Robots Group
... Hidden Markov Models ...
A Hidden Markov Model (HMM) is a statistical model used to describe the behavior of a sequence of observations. It is an extension of the Markov chain, which assumes that the behavior of a system at any given point in time is only dependent on its current state. In contrast, an HMM allows the current state to be dependent on a sequence of past states. An HMM consists of a set of states, a set of observations, and a set of transition probabilities between states. The observations are assumed to be conditionally independent given the state.