No More Slow Flexible Robots
Discussions on advancements in design and control of compliant robotic systems
Date: Sunday, October 1st 2023, Full-Day Workshop
Room: 140B (đź”—map link)
Streaming: đź”—zoom (starts on time - 8:45 am EDT, GMT-4)
Objectives
Emerging robotic systems hold the potential to transform nearly every aspect of daily life. However, while substantial contributions have been made in artificial intelligence, the physical abilities of most robotic systems remain limited; these systems often move slowly when performing precise motions and present challenges in scalability and adaptability across different uses. Flexible robots containing various elastic components that provide a host of potential benefits, including compliance, energy storage, and shock tolerance, making them suitable for a wide range of applications, such as rehabilitation, exploration and rescue, and collaborative robots. Despite this promise, the motion of elastic robots has been limited in terms of speed and highly dynamic motion; to solve the challenges of rapid, dynamic motion with flexible robotic systems requires a comprehensive approach. This workshop aims to bring together experts in the field of elastic robots to discuss the latest techniques and applications in the highly dynamic motion of flexible robots.Â
To provide a forum for researchers and practitioners to present and discuss the advances to realize dynamic motions on flexible/elastic robotsÂ
To identify the challenges and opportunities in high-speed motions of flexible/elastic robots as an emerging research topic to be addressedÂ
To promote collaboration and knowledge sharing among researchers and practitioners in the fieldÂ
Contents
 The workshop on dynamic control of flexible joint robots aims to bring together experts in the field of elastic robots to discuss the latest techniques and applications in highly dynamic motion control of elastic robots. While research and discussion on flexible joint robots and soft robots have primarily focused on their design and application, there has been limited exploration of their limitations regarding dynamic motion. The workshop intends to provide a forum for researchers and practitioners to present and discuss the advances to realize dynamic motions on flexible/elastic robots.
 The workshop will focus on identifying the challenges and opportunities in high-speed motions of flexible/elastic robots as an emerging research topic to be addressed. The primary objective of the workshop is to promote collaboration and knowledge sharing among researchers and practitioners in the field.
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 The workshop will cover a range of topics related to the design and control of flexible/elastic robots to achieve dynamic motions:Â
 Design and fabrication of elastic components for flexible robots to enable fast motionsÂ
 Hardware developments (mechanical and electrical) to enable fast motions
 Kinematics and dynamics of flexible joint robots
 High-speed motion planning and control of flexible joint robots
 Sensing and sensing fusion techniques for flexible robotsÂ
 Modeling and simulating dynamic motions of flexible robotsÂ
 Advanced control techniques for flexible joint robots to overcome the bandwidth limit
 Machine learning and AI techniques for dynamic motion design and control of flexible robotsÂ
 Applications of flexible joint robots in rehabilitation, exploration and rescue, and collaborative robots.
Invited Speakers
Edgar BolĂvar-Nieto (University of Notre Dame)
Parallel Compliance to Reduce Motor Torque: Extending the Benefits Across Multiple Tasks without Changing Compliance
David Braun (Vanderbilt University)
Compliant Robot Actuators: Old Results and New Directions
Margaret Coad (University of Notre Dame)
Towards Dynamic Motions of Soft Inflatable Robots
Cosimo Della Santina (TU Delft)
Beyond Quasi-Static Approximations: Controlling Continuum Soft Robots in Dynamic Regimes
Yasutaka Fujimoto (Yokohama National University)
Load Force Estimation for Flexible Actuators
Talia Moore (University of Michigan)
Flexible and Rapid Actuator Design Guided by Biological Requirements
Ryuma Niiyama (Meiji University)
Soft-rigid Hybrid Approach in Soft Robotics
Dave Rollinson (Hebi Robotics)
Design and Control of a 2nd-generation SEA
Arne Wahrburg (ABB)
Less stiffness = worse performance? Think again using additional sensing!
Schedule
08:45 - 09:00 Jinoh Lee Opening remark
09:00 - 09:25 Sehoon Oh Frequency-domain approach for flexible joint robots
09:25 - 09:50 Cosimo Della Santina Beyond quasi-static approximations: Controlling continuum soft robots in dynamics regimes
09:50 - 10:15 Ryuma Niiyama Soft-rigid hybrid approach in soft robotics
10:15 - 10:35 Coffee break (20")
10:35 - 11:00 Margaret Coad Towards dynamic motions of soft inflatable robots
11:00 - 11:25 David Braun Compliant robot actuators: Old results and new directions
11:25 - 11:50 Elliott Rouse A novel two-part torsional spring architecture with open source design tool
11:50 - 12:15 Arne Wahrburg Less stiffness = worse performance? Think again using additional sensing!
12:15 - 13:45 Lunch (1'30'')
13:45 - 14:10 Nicholas Paine Tradeoffs in compliant actuation approaches
14:10 - 14:35 Talia Moore Flexible and rapid actuator design guided by biological requirements
14:35 - 15:00 Edgar BolĂvar-Nieto Parallel compliance to reduce motor torque: Extending the benefits across multiple tasks without
changing compliance
15:00 - 15:20 Coffee break (20")
15:20 - 15:45 Dave Rollinson Design and control of a 2nd-generation SEA
15:45 - 16:10 Yasutaka Fujimoto Load force estimation for flexible actuators
16:10 - 16:35 Manuel Keppler From underactuation to quasi-full actuation: Unifying the control of rigid and elastic joint robots
16:35 - 16:50 All attendees   Panel discussion
16:50 - 17:00 Organizers Closing remarks
*Coffee breaks will be organized by conference staff.
Organizers
Sehoon Oh (DGIST)
Sehoon Oh received B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Tokyo, Tokyo, Japan, in 1998, 2000, and 2005, respectively. He was a research associate at The University of Tokyo until 2012, a Visiting Researcher at the University of Texas at Austin from 2010 to 2011, and a guest scientist at DLR from 2022 to 2023. He is currently an Associate Professor at DGIST, Daegu, South Korea directing Motion Control Lab. His research is based on servo control for high precision control utilizing the dynamic model of systems, and the application of this idea extends to robot control, vehicle control, and various applications of motion control. He still believes that there are things that AI-based methodology cannot understand and achieve, which forms his current research interest in model-based control of complicated systems. He received the Best Transactions Paper Award from the IEEE Transactions on Industrial Electronics in 2013.
Jinoh Lee (DLR)
Jinoh Lee is a Research Scientist with the Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Germany, and is Adjunct Professor with Mechanical Engineering Department, KAIST, South Korea. He received the B.S. degree (Summa Cum Laude) in mechanical engineering from Hanyang University, Seoul, South Korea, in 2003, and the M.Sc. and Ph.D. degrees in mechanical engineering from Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2012. Prior to joining DLR in 2020, he held the Research Scientist position at the Department of Advanced Robotics, Istituto Italiano di Tecnologia (IIT), Italy. His professional focus is on robotics and control engineering, which include manipulation of highly redundant robots such as dual-arm and humanoids, robust control of nonlinear systems and compliant robotic system control for safe human-robot interactionÂ
Manuel Keppler (DLR)
Manuel Keppler leads the Elastic Robot Control group at the German Aerospace Center's (DLR) Institute of Robotics and Mechatronics in Germany. His team seeks to advance the foundations of robot control, planning, and design to empower elastic robots to achieve human-like motion performance and efficiency. He further directs the control development for DLR David, a humanoid robot equipped with variable stiffness actuators. Manuel received a B.S. in molecular biology from the University of Vienna, Austria, in 2009, a B.S. and M.S. (Summa Cum Laude) in mechanical engineering from the Technical University of Vienna, Austria, in 2012 and 2014 and the PhD in computer science (Summa Cum Laude) from the Technical University of Munich, Germany. He joined the German Aerospace Center (DLR) as a research scientist in 2014 and since 2019 he is leading a control team. From 2019 to 2020 he was Visiting Researcher at Sapienza University in Rome collaborating with Prof. Alessandro De Luca. As of 2023, Manuel leads his own research group. His current research interests include the control and analysis of nonlinear and underactuated systems, including compliant and variable stiffness robots, and the design of robust and energy-efficient robots. He was a finalist for the Best Paper Award on Automation at the 2016 IEEE Int. Conference on Robotics and Automation (ICRA) in Stockholm, Sweden, and, in 2023, received a “IEEE Robotics and Automation Letters Best Paper Award Honorable Mentions”.Â
Nicholas Paine (Apptronik)
 Dr. Paine received his B.S., MS., and PhD. in the field of electrical engineering from the University of Texas at Austin. His research focused on high-performance series elastic actuation technologies for legged robots. His academic contributions have seen adoption in over 1,000 peer reviewed citations, and numerous recreations all over the world. His academic accomplishments led to him being invited to collaborate on several high-profile robotics projects such as the Valkyrie Humanoid Robot at NASA-JSC, and robots developed by Meka Robotics. After graduating, he founded Apptronik to continue developing advanced robotic technology and to apply these technologies to commercial products. He currently serves as CTO where he has led numerous robotics projects in the fields of exoskeletons, manipulators, and humanoids.Â
Elliott J Rouse (University of Michigan)
Elliott Rouse is an Associate Professor in the Robotics and Mechanical Engineering Departments at the University of Michigan (U-M). He directs the Neurobionics Lab, whose vision is to reverse engineer how the nervous system regulates the mechanics of locomotion, and use this information to develop assistive technologies that leverage this understanding. His group studies the design, control, and evaluation of lower-limb exoskeletons and robotic prostheses. He has launched the careers of four doctoral students, two of which are faculty at Research I institutions in the USA. He is the recipient of the NSF CAREER Award and is a member of the IEEE EMBS Technical Committee on BioRobotics. In addition, he is on the Editorial Boards for IEEE Robotics and Automation Letters, IEEE Transactions on Biomedical Engineering, and Wearable Technologies. Elliott received the BS degree in mechanical engineering from The Ohio State University and the PhD degree in biomedical engineering from Northwestern University. Subsequently, he joined the Massachusetts Institute of Technology as a Postdoctoral Fellow in the MIT Media Lab. Prior to joining U-M, Elliott was faculty in the Schools of Medicine and Engineering at Northwestern University / Shirley Ryan AbilityLab and worked in professional autoracing. In 2019 – 2020, he was a visiting faculty member at (Google) X, where he maintains an appointment.Â
Support
This workshop is supported by the following RAS technical committees: