ICCMA 2024 | NOV. 11-13 | Brunel University London, UK

2024 The 12th International Conference on Control, Mechatronics and Automation has been held in London, Uk. The conference proceedings of ICCMA2024 included in IEEE Xplore,already.

During the ICCMA 2024, we have an enriched program with insightful keynote speeches, thought-provoking invited talks, and comprehensive paper presentations. We are privileged to have renowned experts sharing their insights and paving the way for future innovations. So special thanks to our speakers: Prof. Hong Wang (IEEE FELLOW), Prof. Asoke Nandi, Prof. Benoit Clement, Prof. Manuel F. Silva. Additionally, our authors and attendees of the conference, from about 30 different countries, such as Germany, Denmark, Norway, Ireland, China, France, USA, Russia, Australia and so on. We think this is a perfect opportunity to share and explore. We encourage each of you to take full advantage of this opportunity to engage actively, exchange perspectives, and collaborate with peers who share your passion and expertise.

We sincerely hope that throughout these sessions, you will find inspiration, enjoy engaging conversations, and establish connections that extend beyond the duration of the conference.

 

Session Group Photos

 

Guest Speakers Onsite

Best Presentation Winners

Paper information of thewinners:

Session 1: MA-054 Two-mode Input-shaping Control Using Frequency Modulation Applied on a Double Pendulum
Khaled A. Alhazza, Kuwait University, Kuwait

Session 2: MA-111 Rigid Body Modeling and Dynamic Flight Control of a Tethered Kite
Enso Ndreko, Bordeaux INP, France

Session 3: MA-324-A Direct-Collocation based Trajectory Optimization of Cable Driven Parallel Robot Using an Analytical Kinetostatic Index
Keerthi Sagar, Irish Manufacturing Research CLG, Iraland

Session 4: MA-039 Robust control of a four DoF rehabilitation robot for upper limb: A digital shadow approach
Luis Leduc, UPIBI - Instituto Politécnico Nacional, Mexico

Session 5: MA-018 Design of a wearable system for gait analysis based on IMU, sEMG and plantar load signals
Mariana Alegria, CIDETEC-Instituto Politécnico Nacional, Mexico

Session 6: MA-321 Offline deep reinforcement learning within the baking industry
Omar Adalat, University of Bradford, UK

Session 7: MA-021 Comparison of high performance hybrid variable reluctance fast steering mirrors
René Rüddenklau, German Aerospace Center (DLR), Germany

Session 8: MA-330 Multi-Sensor Fusion for Efficient and Robust UAV State Estimation
Mahammad Irfan, University of Limerick Ireland, Ireland