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A review of natural-language-instructed robot execution systems
It is natural and efficient to use human natural language (NL) directly to instruct robot task
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …
Platform portable anthropomorphic gras** with the bielefeld 20-DOF shadow and 9-DOF TUM hand
We present a strategy for gras** of real world objects with two anthropomorphic hands,
the three-fingered 9-DOF hydraulic TUM and the very dextrous 20-DOF pneumatic Bielefeld …
the three-fingered 9-DOF hydraulic TUM and the very dextrous 20-DOF pneumatic Bielefeld …
Deep spiking neural network model for time-variant signals classification: a real-time speech recognition approach
Speech recognition has become an important task to improve the human-machine interface.
Taking into account the limitations of current automatic speech recognition systems, like non …
Taking into account the limitations of current automatic speech recognition systems, like non …
Learning to interpret pointing gestures with a time-of-flight camera
Pointing gestures are a common and intuitive way to draw somebody's attention to a certain
object. While humans can easily interpret robot gestures, the perception of human behavior …
object. While humans can easily interpret robot gestures, the perception of human behavior …
Mental imagery for a conversational robot
To build robots that engage in fluid face-to-face spoken conversations with people, robots
must have ways to connect what they say to what they see. A critical aspect of how language …
must have ways to connect what they say to what they see. A critical aspect of how language …
Grounded situation models for robots: Where words and percepts meet
Our long-term objective is to develop robots that engage in natural language-mediated
cooperative tasks with humans. To support this goal, we are develo** an amodal …
cooperative tasks with humans. To support this goal, we are develo** an amodal …
Interactive imitation learning of object movement skills
In this paper we present a new robot control and learning system that allows a humanoid
robot to extend its movement repertoire by learning from a human tutor. The focus is learning …
robot to extend its movement repertoire by learning from a human tutor. The focus is learning …
Situated robot learning for multi-modal instruction and imitation of gras**
A key prerequisite to make user instruction of work tasks by interactive demonstration
effective and convenient is situated multi-modal interaction aiming at an enhancement of …
effective and convenient is situated multi-modal interaction aiming at an enhancement of …