Papers by Muhammad Asif Aslam
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, a... more Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret and represent the environment in an efficient and consistent fashion, in a human compatible manner. The work presented here is oriented in this direction. It proposes a hierarchical probabilistic concept oriented representation of space that is based on typical household objects and structural elements such as doors (and walls). The primary contributions of this work are in the areas of representation and conceptualization for Generic Robots; the key focus being, an increase in the semantic content of state-of-the-art Generic Robot spatial representations and an increase in the spatial awareness (understanding) of a Generic Robot about its surroundings.
The state-of-the-art in robotics still relies on simple features such as lines and corners for mapping the environment, inverse kinematics for controlling each and every motion and wireless communication so as to control the robot from anywhere in the world. These generic key features allow the robot to perform various tasks related to security, surveillance and maintenance. This is not only motivated by intuition but also supported by user studies conducted as a part of this work.
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Papers by Muhammad Asif Aslam
The state-of-the-art in robotics still relies on simple features such as lines and corners for mapping the environment, inverse kinematics for controlling each and every motion and wireless communication so as to control the robot from anywhere in the world. These generic key features allow the robot to perform various tasks related to security, surveillance and maintenance. This is not only motivated by intuition but also supported by user studies conducted as a part of this work.