A series of lectures by Amitabha Mukerjee, Ph.D.
We are pleased to announce that Amitabha Mukerjee, Ph.D.
will run a series of lectures in the Department of Computer Science.
1. Dimensionality reduction and nonlinear manifold discovery. Relation to motor Learning in the human infant; reaching and navigation. |
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2. Robot Visio-motor self-discovery via manifold learning. Deep Learning Autoencoder and Isomap approaches. |
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3. Robot self-awareness via visio-motor coordination. Reaching and Obstacle Avoidance. Areas opened up by the approach. |
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4. Introduction to Robotics. Traditional Approaches to Robot kinematics. Configuration space models. |
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5. Traditional Robot motion planning. Monte carlo simulation and Probabilistic Roadmap methods. |
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In the course of the project: “Improvement of didactic potential of computer science specialization at AGH-UST”, no.: UDA-POKL.04.01-01-00-367/08-00 |