Lydia is a technical writer captivated by innovative science and engineering. She holds a degree in Computer Science, credentials in electronics technology, and her background includes work in robotics, communications hardware, software, and developer documentation.
Simulation is key to the efficient development of dexterous robot hands with human-like abilities.
Part 2 of our dexterous robotic hand series.
Agile, robust, and dexterous hands are a challenging puzzle piece to the potential of robotics.
Conversational AI enables machines to respond in a human-like manner. These intelligent systems are designed to understand intent and context, remember user preferences, and engage in meaningful conversations.
In this third part of the series, we will take a deeper look at the development of the Shadow Hand and Glove, the technology behind the glove, and the potential impact of this system on the field of robotics.
Sensor and actuator networks are systems that collect and transmit data from a physical environment for digital processing. Data is collected at sensors and actuators in the field, then digitized at the sensor or actuator. The digitized data can be used for a variety of applications, and the method for data processing depends on the application