Organizers

Xing Wang

xing.wang@csiro.au

Dr Xing Wang Joined CSIRO Data61 in 2022 as a Postdoctoral Fellow in the Robotics Design and Interaction Group. He studied Mechanical Engineering before completing his PhD in Robotics at Monash University in 2022. His PhD mainly focused on the soft robotic gripper and deep-learning-based visual guidance in agriculture applications. Xing’s research interests are the autonomous design of soft robotics, deep-learning-based fruit detection, segmentation, Lidar-camera calibration, tactile sensing etc. His research in CSIRO mainly lies in developing bespoke autonomous soft robotic designs with AI algorithms. 


David Howard

david.howard@csiro.au

Dr David Howard was born in Grimsby, UK, in 1984. He received his B.S. (2005) and M.Sc. (2006) degrees from the University of Leeds, UK, and subsequently gained his Ph.D. from the University of the West of England, UK, in 2011. He has been with the Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia, since 2013. He is the lead of Robotics Design and Interaction group in CSIRO Robotics. His research interests include embodied cognition, the reality gap, and soft robotics. 

Joshua Pinskier

josh.pinskier@csiro.au

Dr Joshua Pinskier joined CSIRO Data61 in 2020 as a postdoctoral fellow in the Robotics and Autonomous Systems Group's Material Robotics team. He has previously studied mechatronics engineering and commerce at Monash University before completing his Ph.D. in mechanical engineering from Monash in 2019. His current research interests are in soft robotics, computational design, and autonomous manufacturing. 

Michael Y Wang

mywang@gbu.edu.cn

Prof. Michael Y. Wang is the Professor and Head of Department of Mechanical and Aerospace Engineering at Monash University. He has numerous professional honors–National Science Foundation Research Initiation Award; Ralph R. Teetor Educational Award from Society of Automotive Engineers; LaRoux K. Gillespie Outstanding Young Manufacturing Engineer Award from Society of Manufacturing Engineers; Boeing–A.D. Welliver Faculty Summer Fellow, Boeing; Chang Jiang (Cheung Kong) Scholars Award from the Ministry of Education of China and Li Ka Shing Foundation (Hong Kong); Research Excellence Award of CUHK. He was the Editor-in-Chief of IEEE Trans. on Automation Science and Engineering. His main research interests are in robotic manipulation, learning and autonomous systems, manufacturing automation, and additive manufacturing.

Before joining Monash University in 2022, he was the Founding Director of the Cheng Kar-Shun Robotics Institute, the Director of HKUST-BRIGHT DREAM ROBOTICS Joint Research Institute, and a Chair Professor of Mechanical and Aerospace Engineering as well as Electronic and Computer Engineering of Hong Kong University of Science and Technology (HKUST). Previously, he also served on the engineering faculty at University of Maryland, Chinese University of Hong Kong, and National University of Singapore. A recipient of ASME Design Automation Award, Professor Wang is a fellow of ASME and IEEE.


Chao Chen

chao.chen@monash.edu

A/Prof. Chen joined the Department of Mechanical and Aerospace Engineering at Monash University as a Lecturer in 2007, and has been a Senior Lecturer since 2011. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong. He was a Senior Research Fellow at the University of Melbourne, and a Visiting Professor in IRCCyN, Ecole Central de Nantes and Shanghai Jiao Tong University.

A/Professor Chen established the Laboratory of Motion Generation and Analysis (LMGA) at Monash University and has been the director of LMGA since 2008. The mission of LMGA is to solve real world challenges for better industry and society by means of advanced robotic technologies. The research activities include medical robots, agriculture robots, and infrastructure robots. The research focuses are on design of robots and mechanisms, robotic dynamics and control, path planning, and robotic intelligence. The robotic systems developed by his group include a Robotic Transverse Profiler (successfully delivered to the Australian Road Research Board in 2016), a 3D Printed Prosthetic Hand (received 2017 Award by Australian Hand Therapy Association), and an Apple Harvesting Robot (exhibited in 2019 Global AI Product and Application EXPO).

Pham Huy Nguyen

huy.pham@empa.ch

Dr. Pham Huy Nguyen is currently a postdoctoral researcher at the Laboratory of Sustainability Robotics at Empa, Switzerland and a visiting researcher at the Aerial Robotics Lab at Imperial College London, UK. His research is focused on the development of various novel physically intelligent, bio-inspired aerial robotic platforms that utilize soft sensing and actuation schemes. Previously, he received the B.S.E in Mechatronics from the Asian Institute of Technology in Bangkok, Thailand in 2013 and the M.Sc. degree in Robotics from the EMARO (European Masters in Advanced Robotics) program in 2015. The EMARO program is a two year program, with the first year at École Centrale de Nantes, France, and the second year at Università Degli Studi di Genova, Italy. He received the Ph.D. in Systems Engineering from the Arizona State University, USA, in Fall 2020. 

Mirko Kovač

m.kovac@imperial.ac.uk

Prof. Mirko Kovac is Director, Laboratory of Sustainability Robotics at Empa Switzerland and Aerial Robotics Laboratory at Imperial College, London UK. He is also an adjunct professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Architecture, Civil and Environmental Engineering (ENAC). 

He is internationally recognized leader in aerial robotics and working on a mission on development of minimally invasive robotics and AI technologies to measure and modify environments and deliver sustainable outcomes. His research focuses on the development of novel, biologically inspired flying robots for distributed sensing in air and water and autonomous robotic construction for digital infrastructure systems for industry 5.0 applications. His research group is specialized in robot design, hardware development and multi-modal robot mobility. At Laboratory of Sustainability Robotics, Empa, we are developing novel materials allowing tight integration to robot functionality and operational robustness and allow development of robotic organs and an associated full integration of embodied artificial intelligence in future engineering systems. The group research is also focuses on developing bio-hybrid systems integrating biological materials such as muscle cells, functional cellulose, fungi substrate with robotic systems.

Prof. Kovac has over 15 years of research experience from Imperial College, London and at Harvard University He has been awarded >12.4m Euro for his cross-disciplinary projects and has published >100 peer-reviewed articles in leading robotics journals and at conferences (including, Nature, Science, Nature Machine Intelligence and Science Robotics). Prof. Kovac’s research work has received >1100 media mentions, and he regularly acts as an advisor to robotics investment funds and government including a consultation to the UK House of Lords. He has received the prestigious Royal Society Wolfson award in 2018 and an ERC Consolidator grant (funded by SERI) in 2021. Prof. Kovac is also Director of Centre of Excellence in Infrastructure Robotics Ecosystems (Ceire) at Imperial College London.

Yue Xie

yx388@cam.ac.uk

Dr Yue Xie is a Marie Sklodowska-Curie Future Roads Fellow in the University of Cambridge. She received her Ph.D. in Computer Science from the University of Adelaide in 2021, where her research focused on evolutionary computation through both theoretical analysis and real-world applications. Prior to joining University of Cambridge, she held a postdoctoral research fellowship at the Optimization and Logistics group at the University of Adelaide, and a CERC Post-doctoral Fellow in the CSIRO Data61. Yue’s research interested are the embodied artificial intelligence and bio-inspired optimization and she has applied knowledge to tackle real-world problems, such as smart traffic and soft robotics.

Fumiya Iida

 fi224@cam.ac.uk

Prof. Fumiya Iida is a professor of robotics at the Department of Engineering, University of Cambridge. He received his bachelor and master degrees in mechanical engineering at Tokyo University of Science (Japan, 1999), and Dr. sc. nat. in Informatics at University of Zurich (2006). In 2004 and 2005, he was also engaged in biomechanics research of human locomotion at Locomotion Laboratory, University of Jena (Germany). From 2006 to 2009, he worked as a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology in USA. In 2006, he was awarded the Fellowship for Prospective Researchers from the Swiss National Science Foundation, and in 2009, he was appointed as a Swiss National Science Foundation Professor for bio-inspired robotics at ETH Zurich. His research interests include biologically inspired robotics, embodied artificial intelligence, and biomechanics, and he has been involved in a number of research projects related to dynamic legged locomotion, navigation of autonomous robots, and human-machine interactions. He has so far published over forty publications in major robotics journals and conferences, and edited two books. Currently he serves on the editorial board of the Soft Robotics Journal, Frontiers in Robotics and AI (Bio-Inspired Robotics Section), and as a program committee member for international conferences and workshops. In addition, he has organized a few seminal meetings such as the International Conference of Embodied Intelligence, RoboSoft, and TAROS.