Doctoral Course in the field of Industrial Engineering 685 views

Doctoral Course in the field of Industrial Engineering

Department: Department of Industrial Engineering Research

Topic Industry: Industrial bioengineering

Research option: Development and experimental validation of an aerial manipulator with enhanced grasping precision

Supervisor: Silvio COCUZZA – Professor

Co-Supervisor Ashok Kuppusamy Assistant Professor

Context of the research activity and objectives

1. Aerial manipulators (i.e., rotary-wing Unmanned Aerial Vehicles (UAV) augmented with a robot manipulator) have many important applications in industrial environment, for example in logistics and for inspection and maintenance of machinery in hazardous environments.
2. The precise positioning and control of the end-effector of the robot for grasping and precise manipulation is very challenging, due to the coupled kinematics and dynamics of UAV and robot.
3. In this research, a dynamically balanced aerial manipulator will be developed and experimentally validated.
4. The robot arm configuration and control will be optimized concurrently in order to minimize the reactions transferred by the arm to the UAV.
5. Open/closed chain robots, and cable-driven and hyper-redundant manipulators will be investigated.
6. The developed experimental prototype will be validated through an extensive testing campaign.

Infrastructures

Automation and Robotics Labs, Mechatronics Lab, Mechanical Vibrations Lab, Modal Analysis Lab (University of Padova). Robotics and Mechatronics Labs (TU Delft, University of York, Queen Mary University of London).

Skills and competencies for the development of the activity Knowledge of kinematics and dynamics of machinery and/or robots. Basic knowledge of mechanical design and control systems.

Eligibility: B.Tech/B.E and M.Tech in Robotics/Mechatronics/Automation/Aerospace Engineering 2 or 3 publications indexed in SCI/SCIE/Scopus Hands on working knowledge on Matlab/Simulink platforms

Experience in UAV/Drones and Industrial Automation

Deadline March 8, 2022 [Online application]

Email: k.ashok@jainuniversity.ac.in