Robot Kinematics and Control Systems - Part 2

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The upcoming session in the Robotics in Industry 4.0 Workshop Series will take place on 24th May 2025, focusing on “Robot Kinematics and Control Systems – Part 2”. This interactive virtual session will delve into the mathematical and algorithmic foundations that govern robotic motion and response, with particular focus on forward and inverse kinematics, as well as key control algorithms such as PID and adaptive control. The session will be conducted by Dr. Jonathan Eden, Lecturer in Robotics and Mechatronics at the University of Melbourne and head of the Human Robotics Laboratory. Dr. Eden’s research lies at the forefront of human-robot interaction, combining dynamics analysis, control theory, haptics, and aspects of neuroscience to design systems that extend human capability through intelligent robotic assistance.Through this session, Dr. Eden will explore how control systems interact with the kinematic structure of robots to produce precise, stable, and responsive motion—especially in dynamic or uncertain environments. Concepts will be illustrated using both theoretical frameworks and real-world applications, drawing on examples from assistive robotics, collaborative manipulation, and wearable robotic systems.An open Q&A session will follow the presentation, allowing participants to directly engage with Dr. Eden and explore current and future challenges in robotics control.Whether you're a student, researcher, or industry professional, this session offers valuable insights into the core mechanics of robotic movement and control in the context of Industry 4.0.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 24 May 2025
  • Time: 10:30 AM UTC to 12:30 PM UTC
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  • Co-sponsored by IEEE Systems Council Young Professionals, IEEE RAS chapter Sri Lanka, IEEE IES chapter Sri Lanka
  • Starts 17 May 2025 06:30 PM UTC
  • Ends 23 May 2025 06:30 PM UTC
  • No Admission Charge


  Speakers

Dr Jonathan Eden

Topic:

Robot Kinematics and Control Systems - Part 2

Forward & inverse kinematics
Control algorithms: PID, adaptive control

Biography:

Dr. Jonathan Eden is a Lecturer in Robotics and Mechatronics in the Department of Mechanical Engineering at the University of Melbourne. His research lies at the intersection of human-machine interaction, control theory, and applied neuroscience, with a particular focus on augmenting human ability through robotics. Dr. Eden holds a Ph.D. in Robotics from the University of Melbourne, where he also completed his Master of Engineering (Mechatronics) and Bachelor of Science (Electrical Systems). His academic and professional pursuits are centered on understanding and enhancing human-robot collaboration—leveraging control systems, dynamics, and user studies to explore how robotic technologies can extend natural human capabilities. His recent research explores areas such as supernumerary robotic limbs, haptic feedback, collaborative control, and neural adaptation in robotic assistance. Dr. Eden has authored over 30 scholarly works and presented at international conferences in robotics, human augmentation, and biomedical engineering. He was awarded the Marie Sklodowska-Curie Individual Fellowship (2019–2021) in recognition of his innovative contributions to human-robot co-evolution in workplace settings. With a unique blend of engineering rigor and human-centric design, Dr. Eden’s work is shaping the future of assistive robotics and intelligent systems in Industry 4.0.