Of late, a lot of natural calamities are disrupting the daily life: bush-fires in Australia, forest fires in California and flooding of thirteen Indian states, Venice and several regions of the the United Kingdom owing to torrential rainfall. To some extent, our negligence towards the environment is to blame. The challenge here is that the environment to be monitored is often large and usually not feasible to be covered with static sensors. A passive solution to this could be to use robots as mobile sensor nodes, given their agility, to simply observe and transmit the data to a base station. But why stop there when the robots can also be endowed with decision making capabilities using artificial intelligence (AI) algorithms to actively process incoming data.
To this end, announcing the official launch of my book titled “Multi-robot Exploration for Environment Monitoring” which presents a one-of-a-kind resource constrained perspective. This is the first-of-a-kind book length discussion pertaining to deployment of mobile robots for environmental monitoring and the challenges faced therewith. For instance, when deploying robots, they are destined to deal with resource allocation problems, which has been described in-depth and I have attempted to provide solutions for it. The book is designed to cater to both machine learning and robotics enthusiasts alike. The book also discusses some success stories from researchers around the world and opens up new arenas for further research along these lines.