The list of accepted workshops and tutorials is as follows. You can find the agendas of the workshops in the workshop websites below.
Workshop 1 – Full Day (Great Room 1&2 – Combined Capacity: 320 pax)
Title: Workshop on Machine Learning for Automation – In Memory of Peter B. Luh
Agenda: You can find the workshop agenda HERE.
There has been tremendous development in machine learning for automation. This is not only
witnessed by the successful workshop under the same title in CASE 2022, but also by the growing
number of related publications in CASE/ICRA/T-ASE as well as in other journals and conferences. We
would like to continue this workshop in CASE2023 to update our review on the exciting research
progress as well as research opportunities in this field. This year, our workshop is unique. We organize
this event in memory of Professor Peter B. Luh, a founding member of the AdHoc on Machine Learning
for Automation, and a beloved friend to many of us, who passed away at the end of 2022. Peter once
enthusiastically identified Machine Learning for Automation as “the next big thing” for our research
community. We intend to use this workshop to share the exciting progress in this field with more
members of our community.
- (Samuel) Qing-Shan Jia, Professor | Tsinghua University, China | E-mail: firstname.lastname@example.org (corresponding organizer)
- Bengt Lennartson, Professor | Chalmers University of Technology, Sweden | E-mail: email@example.com
- Maria Pia Fanti, Professor | Polytechnic University of Bari, Italy | E-mail: firstname.lastname@example.org
- Bing Yan, Assistant Professor | Rochester Institute of Technology, USA | E-mail: email@example.com
Workshop 2 – Full Day (Great Room 4 – Capacity: 160 pax)
Title: Precise Surgical Robotics: Design, Modeling, Sensing, and Control
Website / Agenda: CASE 2023 Workshop – BMT Lab, MAE, CUHK (biomedirobotics.com)
The development of surgical robots has led to the widespread acceptance of minimally invasive surgeries
for accessing surgical sites through natural orifices or minimal incisions. While existing abdominal surgical
robots have been well-developed in academic and commercial areas, there is still a great need for more
sophisticated surgical robots, especially in complex and deep anatomies such as transoral surgery, sinus
surgery, and neurosurgery. Therefore, the design, modeling, sensing, and control of precise surgical robots are critical and significant. This workshop aims to bring together professionals from diverse backgrounds, including robotics, medicine, and medical device manufacturing, to share their expertise and insights into the latest technological and business trends in surgical robotics. The workshop will focus on the critical yet contradictory requirements of dexterity and stiffness in surgical robot design, and various actuation methods proposed to meet these requirements, such as cable-driven mechanisms, push-pull rod actuation, concentric pre-curved tubes, pneumatic/hydraulic actuation, smart materials, and magnetic forces. The workshop will also cover the modeling of surgical robots, including kinematic and static analysis, as well as the sensing of shape and interactive force with the environment. The interactive force with the environment is essential for surgical intervention, and force sensors can be used to measure the interaction forces between the robot and tissue. Besides, control is critical for precise surgical robots, and various control strategies have been proposed, including position control, force control, and impedance control. Overall, this workshop will provide a platform for participants to exchange knowledge and build networks to advance the field of precise surgical robotics and improve patient outcomes in complex surgeries.
- AU Kwok Wai Samuel, Professor | The Chinese University of Hong Kong | E-mail: firstname.lastname@example.org
- HUANG Kai, Professor | Sun Yat-sen University | email@example.com
- LI Weibing, Associate Professor | Sun Yat-sen University | firstname.lastname@example.org
- ZHOU Jianshu, Research Assistant Professor | The Chinese University of Hong Kong | email@example.com
- CAO Lin, Assistant Professor | The University of Sheffield | firstname.lastname@example.org
- MA Xin, Research Assistant Professor | The Chinese University of Hong Kong | E-mail: email@example.com (corresponding organizer)
- WANG Xuchen, PhD Candidate | The Chinese University of Hong Kong |E-mail: firstname.lastname@example.org