Week of Events
“”Application of Particle Swarm Optimization in Robot Manipulator Inverse Kinematics”;”GBS RAS Week”: Webinar #1 of 3
“”Application of Particle Swarm Optimization in Robot Manipulator Inverse Kinematics”;”GBS RAS Week”: Webinar #1 of 3
Particle Swarm Optimization (PSO) is one of the most popular Swarm Intelligence paradigms and is a population-based stochastic algorithm that can be used to solve many types of optimization problems in engineering. This presentation will show how to solve the inverse kinematics problem for serial robotic manipulators using PSO. Inverse kinematics is a fundamental problem in robotics: a set of joint angles must be calculated so that the robot arm can be manipulated to the corresponding desired end effector position and orientation. Traditional solution techniques include analytical methods which may or may not exist for a particular robot, numerical methods such as Newton-Raphson, Jacobian inverse, and other techniques using swarm intelligence have been developed. Many of the current robotic manipulator inverse kinematics solutions using swarm intelligence only deal with the end effector position and not its orientation. We have developed a PSO technique that provides the convergence of a complete end effector pose. This solution technique will be demonstrated using the Baxter Research Robot which has two seven-joint arms although the method can be applied to any general serial robotic manipulator. Speaker(s): HASAN, Virtual: https://events.vtools.ieee.org/m/320721
“From Industry 4.0 to Healthcare 4.0: Problems, Opportunities, and Challenges in Smart and Interconnected Healthcare System”: GBS RAS WEEK- Webinar #2 of 3
“From Industry 4.0 to Healthcare 4.0: Problems, Opportunities, and Challenges in Smart and Interconnected Healthcare System”: GBS RAS WEEK- Webinar #2 of 3
In recent years, there has been growing interest in healthcare systems research worldwide to improve care quality, patient safety, and operation efficiency. In this talk, we will first discuss the evolution of Industry 4.0, then introduce the idea of Healthcare 4.0, i.e., the smart and interconnected healthcare systems. We will present lessons we learned and results we obtained during the journey of manufacturing systems research to healthcare delivery system study. We will introduce the problems and issues, and then address the difficulties and opportunities in healthcare delivery systems. In addition, we will provide a brief description of recent studies in healthcare delivery systems carried out at the Production and Service Systems Lab at the University of Wisconsin-Madison. Finally, we will discuss the challenges and future directions in smart and interconnected healthcare systems research. Speaker(s): JINGSHAN, Virtual: https://events.vtools.ieee.org/m/320798
“On Safe Autonomous Driving: Past, Present, and Future”:GBS ROBOTICS AND AUTOMATION WEEK- Webinar #3 of 3
“On Safe Autonomous Driving: Past, Present, and Future”:GBS ROBOTICS AND AUTOMATION WEEK- Webinar #3 of 3
Engineers and scientists engaged in making artificially intelligent systems have successfully resolved many challenging technical problems and have demonstrated the practical viability of autonomous driving on test tracks and carefully selected roads. These are major milestones in engineering and a clear harbinger of a transformative new era of moving goods, supplies, and people from point A to point B. Yet, along with these accomplishments come many new challenges that are not only of a technical nature, but also of a broader social, legal, and even “ethical” nature. Such issues become more urgent and important as collisions and accidents involving self-driving or semi-autonomous vehicles occur more often – injuring and even killing humans in the real world. A key challenge that needs to be addressed is making sure that artificially engineered automobiles and humans cohabit in a harmonious, safe, and secure manner. For researchers, this provides the exciting opportunity to pursue important problems from a broad range of topics in distributed perception, cognition, planning, and control. We will present a “Human-Centered” approach to the development of highly automated vehicle technologies. We will also present a brief sampling of contributions in the development of systems and algorithms to perceive situational criticalities, predict intentions of intelligent agents, and plan/execute actions for safe & smooth maneuvers and control transitions. We will highlight major research milestones in the area of the autonomous vehicle and discuss issues that require deeper, critical examination and careful resolution to assure the safe, reliable, and robust operation of these highly complex systems in the real world. Speaker(s): MOHAN, Virtual: https://events.vtools.ieee.org/m/320885