Towards the end of my PhD studies in 2017, I had acquired experience in software-related skills; experience in Linux OS and its commands, an assortment of programming, markup, and scripting languages, and basics in networking protocols and setup. Combined with my prior knowledge of Robotics, Mechatronics, embedded systems, Mechanical engineering, and Manufacturing Technology, I was more than ready for IoT.
In the past, I focused only on the technology and its implementation, I never gave a thought about people's reaction to it or whether or not they would accept it. I'd always assumed they would welcome it with open arms. In recent years, however, I learned the reality of things. You can build the best working robot, but if people won't even touch it, it will become meaningless. As such, in recent years, I began to incorporate social impact into my engineering design, by incorporating social studies into my work (by collaborating with colleagues in that area).
Since the official start of my career in education of Engineering courses, I was always fascinated to learn and implement the latest techniques and methods of course delivery and assessment. Over the years, that included an assortment of methods, which include Project-based learning (PBL), Outcome-based teaching, course development, Objected-based education (OBE), Blended-learning, non-conventional teaching methods, and much more. In 2009, I focused on the issue of Transformative Learning and how complicated it would be to apply it to Analytical methods (such as engineering subjects).
ROS is an open-source, community-driven Platform for Robot Software development, its community is made of developers from all around the world, which include hobbyists, students, academics, as well as professional practitioners. ROS-industrial is a sub-community of ROS, as the name implies, focusing entirely on Industrial Robots and their R&D. It is also supported by a conglomerate of companies that specialize in the field of robot design and development.
When I first ventured into robotics, I tackled an area related to my Mechanical engineering background, so I focused on the design and development of robotic grippers and end-effectors. The aim was to design grippers that mimic the performance of their human (and sometimes animal) counterparts. This includes work on humanoid grippers, insect-inspired robots, and others.
This area covers my research activities during my student days (during the final year of my bachelor's degree and the whole of my Master's degree). In that early part of my career, my focus was on Manufacturing tooling and related technology. This included enhancing the performance of cutting tools for Machining operations, and developing high-performance tooling material, especially for specialized cutting operations.