Souravik Dutta, PhD

Postdoctoral Research Fellow, Faculty of Engineering - Mechanical Engineering Dept

Personal Website: https://www.souravikdutta.com/

Contact

Postdoctoral Research Fellow, Faculty of Engineering - Mechanical Engineering Dept
Email
souravik@ualberta.ca
Address
5-380 Donadeo Innovation Centre For Engineering
9211 116 St
Edmonton AB
T6G 2H5

Overview

Area of Study / Keywords

Construction Robotics Construction Automation Planning and Control Underactuated Systems Computational Intelligence Multi-Objective Optimization Evolutionary Computation Reinforcement Learning


About

Souravik is a Postdoctoral Research Fellow at the Smart and Sustainable Manufacturing Systems Laboratory (SMART LAB) in the Department of Mechanical Engineering at the University of Alberta, Canada. He is working in Dr. Rafiq Ahmad's research group on intelligent solutions for generative design and robotic manufacturing to automate structural steel prefabrication for offsite construction.

Souravik completed his Ph.D. from Nanyang Technological University (NTU) Singapore and B.E. (Honours) from Jadavpur University (JU) Kolkata, respectively. He has worked at the Computer-Aided Engineering (CAE) Visualization Lab under the supervision of Dr. Yiyu Cai at NTU Singapore. His doctoral thesis was on Intelligent Lift Motion Planning for Autonomous Tower Cranes in Dynamic BIM Environments. The primary goal of Souravik's research work is the transformation of fundamental yet least automated industries, such as construction and agriculture, with functional applications of intelligent robotics and autonomous systems.

To learn more about Souravik and his research, please visit his Personal Website.


Research

Souravik's research is motivated by the fact that both Construction and Agriculture are the fields yet to harness the power of the integration of Automation, Robotics and Artificial Intelligence. Both industries are still at the nascent stage of deploying autonomous systems to ensure higher productivity, safety and precision of task executions. Souravik is particularly interested in generating intelligent solutions to motion and/or manipulation planning and control problems of potential robotics and autonomous systems employed in the aforementioned industries.

Souravik's vision is to pave the path for Intelligent Robotics and Autonomous Systems by bringing together design, mathematical modeling, optimization and learning. His aspiration is to conduct research towards building a Sustainable Autonomous Planning and Control Ecosystem, leveraging digitalization, robotics, and computational intelligence, via the amalgamation of knowledge-driven and data-driven approaches.

Souravik's current Research Interests include the following:

Robotics

  • Industrial Robots
  • Mobile Robots
  • Legged Robots

Autonomous Systems

  • Motion Planning and Control
  • Collaborative Task Planning
  • Underactuated Systems

Computational Intelligence

  • Multi-Objective Optimization
  • Evolutionary Computation
  • Reinforcement Learning