Abstract
Seminars
Abstract: The next generation of robots are going to work much more closely with humans, other robots and interact significantly with the environment around it. As a result, the key paradigms are shifting from isolated decision making systems to one that involves shared control -- with significant autonomy devolved to the robot platform; and end-users in the loop making only high level decisions.
The discovery of graphene has opened up new horizons in material science research with its unique and spectacular physical, mechanical, electrical and optical properties.1
Exploration and computation of free energy surfaces of chemical reactions are pivotal to computationally predict reaction mechanisms, reaction pathways, and kinetics. Computing free energy surfaces of complex reactions, especially in soft matter system, requires advanced molecular dynamics (MD) simulation techniques. Although, tremendous progress has been made in the recent years in this direction, several limitations are yet to be addressed to make the computations efficient and more accurate.
The one-cell embryo is a deceptively simple entity during the early part of its life. From this one cell, a multicellular, three-dimensional animal eventually emerges through the process of embryogenesis. Decades of forward and reverse genetics have yielded a fairly clear view of the evolutionarily conserved molecular pathways that are essential for normal embryonic development. Yet, an unambiguous understanding of how complexity emerges in a multicellular embryo as development proceeds after fertilisation remains poorly understood.
