A Use Case of Rapid Optimal Control Generation For UAVs Autonomous Applications
Saturday, August 22, 2020
18:45 – 20:00, Nepal Standard Time
Autonomous blocks in machines, such as Unmanned Aerial Vehicles (UAVs) or ground-based industrial robots, are geared towards the generation of controls for their actuators based on certain sensors’ information. While the Optimal Control method offers a possibility of best control generation, their usage in UAVs is limited due to its computational intensiveness; taking a long time to compute controls with onboard resources. In recent years, due to the advancement of low-power computer boards, it has made rapid onboard trajectory generation possible even for micro UAVs. The presentation briefs a use case of rapid optimal control generation for UAVs autonomous applications.
About the speaker
Dr Min Prasad Adhikari is a science enthusiast, with a focus on autonomous applications of robots. He received his undergraduate degree in Aeronautical Engineering from Nanjing University of Aeronautical and Astronautics in 2012, and MASc, and Ph.D. in Aerospace Engineering from Ryerson University in 2015 and 2020, respectively.
Dr Adhikari was also one of the founding members of the Ryerson University Hyperloop Team.